Program

John Nolan, PhD - Read Bio

The State of the Art of Quantitative Cytometry
Cytometry, by its name and nature, is a quantitative endeavor. It came into being from a need to measure individual cells and systems of cells, and throughout its development biological questions have driven steady and significant progress in the effort to measure “how much”? Today, we understand cytometry instruments, reagents, and assays well enough to design and execute complex, quantitative assays whose measurements can be reproduced with precision across instruments and between labs. The benefits and effects of this ability are most evident in clinical applications, where impact is high and rigor and reproducibility are not optional. I will review the current state of the art in quantitative single cell measurements, highlighting key historical milestones, and describe the frontiers of the field in the context of advanced cell therapies that are driving technology development. I will also discuss how practicing quantitative cytometry in the research realm can significantly increase the interpretability, reproducibility, and value of data produced in academic and industry labs and speed the translation of basic research into knowledge that can improve life.

Joe Gray, PhD - Read Bio

Rethinking Precision Cancer Treatment for Advanced Cancers – A Systems Biomedicine Approach
This presentation will outline the key lessons learned from the Serial Measurements of Molecular and Architectural Responses to Treatment (SMMART) program, developed at the Knight Cancer Institute at Oregon Health & Science University. The program aims to enhance outcomes for patients with metastatic cancer by utilizing imaging and omic analysis technologies to identify tumor vulnerabilities. This information is then used to develop targeted therapies that address these vulnerabilities and adapt treatment as tumors evolve. The presentation will cover selected biological and clinical findings, evaluate the strengths and weaknesses of the SMMART approach, and propose a new systems biology treatment strategy. This strategy aims to improve patient outcomes by optimizing various aspects of both the tumor microenvironment and macroenvironment to exert a strong antitumor effect.

Stephanie Pasas-Farmer, PhD - Read Bio

From Pixels to Pills: AI-Driven Innovations in Medical Imaging for Drug Development
Understand the basics of AI and its significant impact on medical imaging. Examine various AI-enabled imaging tools used in drug development, the challenges encountered, and practical solutions for effective implementation.

Boosting Productivity 2.0: Maximizing SRL Efficiency with Live Dashboards
Julie Van Duyse, MSc - VIB-Ghent University

Flow Cytometry in Clinical Trials: Optimizing Vendor Testing and Risk Mitigation
Mark Elliott, Bachelors Of Arts - Takeda Global Research & Development Center, Inc - Deerfield, IL

Modification of SRL reservation and usage policies to maximize instrument availability
Derek Jones, PhD - University of Pennsylvania

A Comprehensive Assessment of Spectral Instrument utilised at the Babraham Institute Flow Cytometry Facility
Rachael Walker, PhD - Babraham Institute

Application of a Comprehensive Multi-Omic Immune Profiling Strategy Achieves Superior Checkpoint Immunotherapy Response Prediction in Lung Cancer
Natalie Smith, BSc - The University of Sydney

Comprehensive Characterization of Platelet Activation by Flow Cytometry for Monitoring Thrombotic Risk.
Kathryn Hally, PhD - University of Otago

Myeloma Drug Sensitivity Testing: Utilizing High-throughput Flow Cytometry for Precision Medicine Decisions in Multiple Myeloma Treatment.
Zachary Walker, MS - University of Colorado Anschutz Medical Campus

The SPRED Study – Multiomic Prediction of Surgical Site Infections after Major Abdominal Surgery
Julien Hedou, MSc - SurgeCare

The Brightest Light in Flow Cytometry and My Career: A Tribute to Mario Roederer
Pratip K. Chattopadhyay, PhD - CEO, Founder Talon Biomarkers, CSO, terraFlow Bioinformatics

In 2003, when I joined Mario Roederer’s lab at the NIH, few could imagine a world full of high parameter flow cytometers. I certainly could not have envisioned the success I had under his wing, nor could I have predicted the career he inspired me to in government, academia, and industry. Even today, eight years removed from his lab, there isn’t a day that I don’t think of him or speak of some soft skill that I learned from him. And for most people in flow cytometry, a day doesn’t go by without touching or doing something that Mario developed, explained, or influenced. It’s not hard to celebrate Mario’s innovation in technology, and – though perhaps we don’t talk about them enough – it is easy to appreciate the important contributions he made in immunology. We’ll catalogue those, and discuss their impact, in this presentation and the other talks in the session. I will also share behind-the-scenes stories of our innovative and ground-breaking work together. And, most importantly, I hope to convey some of the lessons I learned watching him and describe their indelible impact on me. Mario influenced me as a scientist in so many ways – at many different wavelengths, one might say – my talk will aim to capture the brightness of that light.

Understanding memory T-cell differentiation: from ImmunoTechnology to Translational Immunology
Enrico Lugli, PhD - Laboratory of Translational Immunology and Flow Cytometry Core, IRCCS Humanitas Research Hospital

Following pathogen or tumor clearance, T cells survive giving rise to long-lived memory T cells, providing a faster and more powerful response upon secondary challenge. The memory T cell pool is highly diverse, comprising subsets of less differentiated cells with improved persistence capacity and differentiation potential, and subsets of terminally differentiated cells with immediacy of effector functions but limited persistence. The precursors, now commonly referred to as stem-like memory T cells, have been show to maintain immunological memory following acute and chronic infection, to exert the most potent anti-tumor functions following adoptive cell transfer and to generate long-lived effector progenies in response to cancer immunotherapy with checkpoint blockade. During this talk, I will review the discovery of stem-like memory T cells during my post-doctoral fellowship in the laboratory of Mario Roederer at the NIH, how this key event under Mario’s guidance shaped my subsequent career as an independent investigator and, above all, how it inspired a multitude of preclinical and clinical studies on the use of these cells for the benefit of patients with cancer and chronic viral infections. In the last part of the talk, I will mention our current contribution to enhance stem-like T cell responses in response to cancer immunotherapies.

Acknowledgements - AIRC 5×1000 program UniCanVax 22757

A journey through science wonderland - My postdoctoral training in the Roederer lab
Thomas Liechti, PhD - National Institutes of Health
Yolanda Mahnke, PhD - President, FlowHowYouKnow, Scientific Advisor, FluoroFinder

I started my postdoctoral training in Mario Roederer’s lab at the National Institutes of Health (NIH) in 2017. Little did I know that the next 5 years would become one of the most rewarding times in my career. There I was, part of a group with some of the brightest minds in the field of immunology and cytometry and got to experience the sheer unlimited possibilities that the NIH has to offer. A cornerstone of the NIH is the highly collaborative environment. In Mario’s lab we lived up to these standards with the goal to democratize science. Mario has made it his mission to build sophisticated immunological tools, which enable the community to tackle complex scientific questions. Most of us, whether knowingly or unknowingly, tremendously benefited from those technological advancements and immunological discoveries. Besides his remarkable scientific contributions, Mario is heavily invested in mentorship, which has been critical for the professional progress of his trainees. It is my distinct pleasure to speak at this session in honor of Mario’s career. I will share my experience as a postdoctoral trainee at the NIH and how Mario’s mentorship impacted my career and my approach to science and mentorship.

A tale of excellence, in a government/industry partnership
Bob Balderas - VP Biological Sciences, BD Distinguished Fellow

In 2015, a platform technology program was established under a CRADA between The National Institute of Allergy and Infectious Diseases (NIAID) and Becton, Dickinson and Company (BD), to optimize advanced multicolor flow cytometry for immune discovery in preclinical and clinical evaluation of novel vaccine candidates, as well as to develop tools and approaches for in-depth analysis of immune responses elicited by vaccination or natural infection. The program was established to advance the state of the art for flow cytometry, thereby advancing the state of cellular systems analysis through an integrated solution, effectively marrying and optimizing a new generation of software, reagents, and instruments to advance early vaccine development. A broad systems approach to flow cytometry was created to cover software, reagents, and instrumentation to enable extremely high content, high throughput flow cytometry. Specific project goals were mutually developed for an integrated solution to generate more considerably broader, biologically relevant information from rare cells and/or small samples. To accomplish these goals, two project teams were established across NIH and BD. A cadence of monthly meetings were held to facilitate the project, technologies were shared, a base instrument was developed, ideas were integrated into many subassemblies and the eventual creation of a 50 parameter, conventional flow cytometer. Success of this project was attributed to both teams, but today, we wanted to share the experience that we had with Mario and his team. It was truly an opportunity to learn, to share, to watch a mentor invent, to critique and complete what at that time was the first HP flow cytometer in our community.

Developing predictive models of single-cell immune function using time-lapse flow cytometry and supervised machine learning
Sheldon Kwok, PhD - LASE Innovation

A standardized system for quantifying nuclear chromatin structure from microscopy images for cancer prediction.
Naqib Sad Pathan, MSc, PhD Candidate - University of Virginia

Formulation of Predictive Models for Cytometry Data Using High Dimensional Optimal Transport
Naqib Sad Pathan, MSc, PhD Candidate - University of Virginia

High parameter comprehensive immune panel combined with supervised classification reveal age-dependent differences between subjects with mitochondrial disease and healthy controls
Matei Ionita, PhD - University of Pennsylvania

AI-Enabled Tissue Classifier in Mouse Spleen for the Identification of Key Histological Features and Changes in Morphology
Liz Bradshaw, MS - Oklahoma Medical Research Foundation

Diffractive-Optics-Based Structured Illuminations in Biomedical Microscopy: Applications in Imaging Flow Cytometry and Optical Coherence Tomography
Jingjing Zhao, PhD - Huazhong University of Science and Technology

Metabolic imaging by vector-analyzed NAD(P)H-FLIM applied to polarized macrophages as well as NAMPT-inhibited lymphoma cells
Ruth Leben, PhD - Freie Universität Berlin

Integration of single-cell flow cytometry and imaging data via optical barcoding
Sheldon Kwok, PhD - LASE Innovation

Charting the Course for the Next 50 Years of Flow Cytometry
Peter Mage, PhD - Principal Engineer, Advanced Technologies, BD Biosciences
Aaron Middlebrook - Sr. Staff Scientist, Biology, BD Biosciences
Florian Mair - Scientific Director of Flow Cytometry Core Facility and Research Scientist in Immunology, ETH Zurich, Zurich-SWI
Bob Balderas - Vice President, Biological Sciences, BD Biosciences

Over the past 50 years, flow cytometry has evolved into a high-dimensional technique capable of providing deep spectral multiplexing at the single-cell level. The introduction of real-time imaging flow cytometry has further advanced the field, revealing how measurements of cell morphology and the spatial distribution of molecular analytes can provide biological insights with sub-cellular resolution.

In this tutorial, we’ll introduce you to the BD FACSDiscover™ A8 Cell Analyzer, which combines high-parameter immunophenotyping through BD SpectralFX™ Technology and real-time imaging flow cytometry through BD CellView™ Image Technology. We'll demonstrate how these innovations enable unique applications and analytical possibilities, including the continuous expansion of measurable parameters, high-throughput data generation with a novel auto-sampling device, and seamless high-parameter panel portability between analyzers and sorters. Find out how this technology is charting the course for the next 50 years of flow cytometry, empowering rapid scientific discovery and advancing our understanding of cellular biology.

Class 1 Laser - For Research Use Only. Not for use in diagnostic or therapeutic procedures. BD, FACSDiscover, SpectralFX and CellView are a trademarks of Becton, Dickinson and Company and its affiliates. © 2025 BD. All rights reserved. BD-145844(v1.0) 0325

A Tale of Two Cores: The Collaborative Path Bridging Flow Cytometry and Single-Cell Genomics
Dirk Anderson - Flow Cytometry & Single Cell Genomics Core Facility Director, University of Nebraska–Lincoln
Egon Ranghini, PhD - Senior Science & Technology Advisor, 10x Genomics

The integration of flow cytometry with single-cell genomics represents a transformative step in advancing biological research. At the University of Nebraska–Lincoln, our Flow Cytometry Core Facility has implemented the 10X Genomics' Chromium X system and GEM-X platform, providing a comprehensive suite of services that merge cutting-edge technologies for sorting and single-cell analysis.

This presentation will highlight the collaborative workflow we have established to streamline the transition from flow cytometry to single-cell genomics. By fostering partnerships with sequencing and bioinformatics core facilities, we have developed an end-to-end pathway: from cell sorting, GEM generation, and cDNA synthesis to library construction, sequencing, and data analysis. This approach reduces technical barriers, enhances reproducibility, and simplifies the process for researchers, enabling them to focus on scientific discovery rather than technical challenges.

Join us as we explore the successes, challenges, and future opportunities of implementing this integrated workflow, underscoring the pivotal role shared resource laboratories play in facilitating collaborative research.

Finally, Cytometry 3.0 is here
Miftek will be unveiling a new technology at CYTO2025. This presentation will outline and demonstrate CYTOMETRY 3.O. A breakthrough in technology driven by single photon detection. An opportunity for all to see what the future holds for cytometry. Lunch will be provided. You really do not want to miss this.

Natively digital technology. Cytometry moving into the Quantum world at last.

Dotmatics Flow Cytometry: Supercharging insight generation from design to decision with EasyPanel, OMIQ, and FCS Express
Julia Prier - OMIQ / Dotmatics
Sean Burke - FCS Express / Dotmatics
Special Guest

Scientific innovations move quickly and Dotmatics provides the solutions necessary for you and your research to keep pace, today and in the future. We understand that everything from basic R&D, through personalized medicine are supported by flow cytometry.

No matter your specialty, EasyPanel, OMIQ, FCS Express and Prism enable you, your team and your organization to get from idea to insight, faster. Integrations between our products is key to enabling your increasingly complex data and doing so at scale. These integrations set the foundation for end-to-end workflows, from panel design and validation to your analysis suite in OMIQ or FCS Express through to statistical analysis in Prism.

OMIQ and FCS Express provide all the expected tools for classic and advanced flow cytometry and continue to innovate with new algorithms and functionality. We then multiply your productivity, with tools to automate, standardize and share your work.

For those that wish to further centralize and future proof their data, our Scientific Intelligence Platform Luma allows you to extend beyond the aforementioned solutions and provides a platform for additional automation, AI modelling, multiomics and cross-specialty querying and dashboarding.

We are excited to share these solutions with you. Join us, along with our guest speaker to hear more about how we can help you not only get from idea to insight, faster, but also supercharge insight generation. Lunch will be provided for first 50 attendees.

Introducing the CytoFLEX mosaic Detection Module, where spectral flow cytometry meets modularity.
Tamar Tak - Head Flow Cytometry Core Facility, Leiden University Medical Center
Fanuel Messaggio - Senior Application Scientist, Beckman Coulter Inc.

The CytoFLEX mosaic spectral detection module represents the next step in the evolution of our CytoFLEX platform. With this module, you can mix and match different detection methods in one instrument, increasing capacity without the need to invest in a new independent instrument. The CytoFLEX mosaic module provides you with the flexibility to switch between conventional and spectral modes, allowing you to cover experimental workflows from the simplest to the most. Having two analyzers in one help maintain the continuity of your experiments while implementing spectral capabilities.

NK Cell Activation State Predicts Clinical Outcomes in Acute Myeloid Leukemia
Robert S. Welner - Associate Professor, Medicine - Hematology & Oncology, University of Alabama Birmingham
Garret G. Guenther - Agilent Technologies

Acute myeloid leukemia (AML) remains a challenging blood malignancy, and its five-year survival rate declines significantly with increasing age. Only a small subset of patients diagnosed with AML at an advanced age benefit from chemotherapy and blood stem cell transplant treatments. The heterogeneity among responders and non-responders to AML treatment underscores the need for improved biomarkers and more effective treatment candidates. Natural Killer (NK) cells have been shown to efficiently recognize and eliminate both infected and cancerous cells due to their cytotoxicity, presenting an opportunity to explore their potential as both prognostic markers and therapeutic agents. In this study, we aim to elucidate the perturbation of NK cells within the leukemic microenvironment and their relationship with clinical outcomes. The study included bone marrow samples with known clinical outcomes and age-matched controls. We have developed 16-20-parameter flow cytometry panels using an Agilent NovoCyte Opteon full-spectrum flow cytometer. The analysis identified a subset of marrow CD56bright NK cells that was distinct from CD56dim subsets. Flow cytometry remains one of the most effective tools for analyzing single cells and characterizing their proteome; however, the proteome alone doesn't fully capture NK cellular complexity. Therefore, in parallel, we performed single-cell transcriptomics with 10x Genomics to identify and validate predictive biomarkers using CITE-seq. These methods enabled a multi-omic analysis of NK cells at the protein and transcriptomic levels to reveal cellular heterogeneity and the interactions between these layers. We further report seven distinct NK cell subpopulations in human bone marrow using surface markers from flow cytometry data. By integrating the flow cytometry and transcriptomic profiles of NK cells in bone marrow, we have demonstrated that the activation profile of NK cells correlates with clinical outcome. The study further demonstrates the ability of multi-omic assays to deepen our understanding of immune perturbation during disease.

Cytomics Beyond Boundaries: Protocols and Standards in Aquatic Cytometry
Attila Bebes, PhD, University of Exeter
Contributing Authors - Attila Bebes, Nicole Poulton, Raif Yuecel

At CYTO 2024 our group has delivered the first “Cytomics Beyond Boundaries” workshop, aimed at the broader cytometry community involved in non-medical research topics. The focus of that workshop was to understand the need, the issues and the shortcomings of flow and imaging cytometry capabilities to measure non-conventional samples.

The conclusion of the 2024 workshop showed the strong need for standardized sample preparation protocols and measurement processes for microbiological, environmental, plant and aquatic cytometry applications. Based on this we aim to follow-up on more focused topics starting with aquatic cytometry. The intention is to gather experts in the field to create collection of widely accepted protocols and devise standards that can be shared with and utilized by the community.

Key Questions to Address:
1. Can there be a working group established to collect, review and publish consensus protocols in aquatic cytometry on sample collection and preparation, instrument settings and data analysis?
2. In what ways are the latest emerging technologies (such as full spectrum cytometry and imaging cell sorters) shaping the current methodologies?
3. Given significant population heterogeneity in aquatic samples, what avenues are there to create consensus gating strategies and data normalization methods?
4. How can advanced analytical methods aid in processing the increased dimensionality of cytometric data from diverse environmental samples?

Do you know your ABCs of PBMCs? (A Critical Evaluation of Pre-analytical Variables)
Thomas Beadnell, PhD, Eurofins
Contributing Authors - Thomas Beadnell, Helen McGuire, Vikas Singh, Karen Quadrini, Sylvia Janetzki

For functional assays, PBMC processing is a critical parameter that impacts assay performance. Clinical environments pose a logistical hurdle for harmonizing this variable across studies. Specifically for functional assays, isolation after 8 hours can lead to an increase in granulocytes that may skew the results. Understanding the context of use and assay limitations therefore remain important considerations in the development of single-cell analysis-based assays assessing functional responses in immune cells. This workshop will provide a needed discussion around the processes and procedures employed to decrease variability and improve quality within PBMC clinical processing and clinical functional assays.

To best establish a foundation for this workshop, the authors propose to lead a tutorial on best practices for PBMC collection, along with best practices for functional assays. The tutorial will provide background on factors that impact PBMC quality and the downstream effect the factors have upon the assay. Key questions within the tutorial will focus on best practice for establishing acceptance criteria for PBMC quality and what to look for within the assay to verify the quality of the PBMC. Finally, the tutorial will provide further background on key functional assays that utilize PBMC, including intracellular cytokine staining and ELISpot, along with best practices for viability assessments. The tutorial will be emailed to the organizers in addition to this submission.

The tutorial will set the foundation for answering key questions through discussion groups within the workshop. The overarching goal will be to establish working group committees that will help establish future guidance documents around these topics.

The authors have outlined key questions in the format/agenda that represent example discussion points for the workshop. To increase audience engagement, the authors plan on putting together a pre-conference questionnaire based off the questions below. The questionnaire will provide a survey of common practices across the ISAC community, it will highlight key differences in practices across the field and will identify key discussion points that will be emphasized during the workshop. Therefore, all topics below may not be highlighted during the workshop and will be prioritized based on the interest of the ISAC community.

Contributions/contributors will lead to formation of committees, consensus documents and best practice guidelines.

Embracing Autofluorescence: A New Frontier in Cytometric Applications
Daniel Vocelle, PhD - Incoming Director of Flow Cytometry Shared Resources, St Judes Children's Research Hospital
Contributing Authors - Daniel Vocelle1, Tamar Tak2, Rui Gardner3 1. Michigan State University, East Lansing, MI, USA 2. Leiden University Medical Center, Leiden, Netherlands 3. Sloan Kettering Cancer Center, New York, NY, USA

Historically, autofluorescence has been viewed as interference in cytometry, but advances in spectral cytometry and the ability to deconvolve highly similar spectral signatures have unlocked new possibilities. By embracing autofluorescence, researchers are uncovering unique biological insights, such as distinguishing cellular phenotypes, characterizing drug interactions, metabolic profiling, senescence, oxidative stress, and even carcinogenesis. As these applications grow, autofluorescence is poised to play a significant role in cytometry research, requiring the field to adopt a standardized approach to data collection, analysis, and sharing.

The ultimate outcome of this standardization effort is the development of a comprehensive autofluorescence spectraviewer, which would serve as a community tool to visualize and compare autofluorescence signatures across cell types, treatments, and cytometry instruments. This spectraviewer will not only support individual researchers but also create a unified platform for collective advancements, enabling meaningful cross-platform comparisons and robust data sharing that will drive

Key questions to address:
1. How can a comprehensive database of autofluorescence spectra advance cytometric applications?
2. What are the essential guidelines and metadata needed for robust, reliable autofluorescence data collection?
3. How can this working group drive participation and establish standards across different instruments and treatment types?
4. How can researchers contribute to this open-access project to ensure its accuracy and utility?

SCYM Certification: Why It Matters, How It Works, and Why We Care
Anna Belkina, MD, PhD, Boston University Chobanian & Avedisian School of Medicine
Contributing Authors - Anna C. Belkina, Jessica Back

The proposed workshop will focus on familiarizing attendees with the Specialist in Cytometry (SCYM) certification/exam. The credential helps identify qualified scientists in a field where staffing of knowledgeable, experienced personnel can be difficult. The goal of the workshop is to provide a comprehensive overview of the exam structure, content, and intended purpose, making it accessible for those who may not be familiar with it. The session will begin with an introduction outlining the certification's background and objectives. This will set the stage for a focused discussion aimed at debunking common myths and misconceptions about the certification, which have persisted within the cytometry community.

The workshop will feature a dedicated segment on exam preparation strategies. In this part, presenters will share practical tips, recommended resources, and best practices for exam success. To enhance the value of this segment, certified individuals will be invited to share their experiences, offering insights into their preparation journeys. Following the preparation discussion, the session will cover important aspects of maintaining certification and the associated responsibilities.

Both workshop presenters bring significant expertise, having served on the ASCP Cytometry Exam Committee (Dr. Belkina is currently a co-Chair of the Committee and Dr. Back is a former Chair). Their experience with the certification process gives them a deep understanding of the exam's overall objectives and the competencies it seeks to evaluate. While they cannot disclose specific details about exam questions, their insights will help demystify the certification process and offer guidance on effective preparation. They are also well-positioned to discuss the broader importance of the SCYM certification and its impact on professional standards within the cytometry community.

A significant portion of the workshop will be devoted to an open discussion on the relevance and community value of the certification. Since the need for certification has been questioned in the past, this segment will provide a platform for a constructive dialogue. Attendees will have the opportunity to share their perspectives and engage with others in considering how the certification supports professional growth and adds value to the field of cytometry.

By the end of the workshop, participants will leave with practical resources for exam preparation, a clearer understanding of the certification's significance, and a sense of how maintaining the credential can benefit their careers. The session will emphasize the broader impact of certification on the professional standards and recognition of the cytometry community.

Additionally, the workshop will discuss the practical value of certification from both the employee and managerial standpoint. SCYM certification may open considerable employment and career advancement opportunities as well as assist managers in making informed hiring decisions based on the level of cytometry knowledge and expertise of prospective hires. The SCYM certification sets a standard for candidate qualifications, ensuring a baseline of expertise and competence. For staff members not yet certified, the certification process establishes clear educational goals, fostering a culture of continuous learning. Moreover, the SCYM certification helps institutions clarify career ladders, aiding administrative efforts in staff development and professional advancement."

The Future of FlowRepository
Josef Spidlen, PhD, BD Biosciences
Contributing Authors - Josef Spidlen, Jonathan Irish, Andrea Wang, Madeline Hayes, Jessica Houston, Abhishek Vallabhbhai Koladiya, Sofie Van Gassen, Bartek Rajwa, Florian Mair

This workshop will discuss the current state and future directions for the public data repository FlowRepository. This session will bring together experts in flow cytometry, data management, and bioinformatics to deliberate on the current state of FlowRepository 1.0 and the potential development of FlowRepository 2.0. In addition, we will explore related topics, such as potential value of building cytometry cell atlases and standardized cell types, options for governance, and opportunities to support those in FlowRepository 2.0.

Lewis Lanier, PhD - Read Bio
Nature Killer cells – a 5-decade quest

Natural Killer cell activity was first described in 1973. Flow cytometry was critical to the identification of these innate lymphocytes and the discovery of their receptors, signaling pathways, and mechanisms of host protection against tumors and pathogens. This presentation will highlights a timeline of a few selected advancements in NK cell biology from a personal perspective of being involved in this quest.

Yuval Kluger, PhD - Read Bio

Interpretable predictive models and spatial effect estimation for spatial omics specimens
Growing efforts are being made to collect spatial omics datasets. Key challenges include: (1) estimating the effect of spatial microenvironment on gene expression by disentangling intrinsic from spatial variation, and (2) predicting phenotypes such as response to immunotherapy while providing interpretable spatial and molecular features driving the prediction. Existing methods either do not model intrinsic variations or lack identifiability for proper disentanglement. Additionally, current predictive methods often rely on cell annotations rather than leveraging the full transcriptome with its spatial context. We will present deep learning models for interpretable prediction and a theoretically-grounded deep learning approach for spatial effect estimation.

Davig Ng - Read Bio

Implementation of AI/ML in the Clinical Flow Laboratory
This talk will cover considerations on implementing AI/ML in clinical flow cytometry workflows. We will briefly review flow cytometry ML techniques, discuss features unique to clinical ML pipelines, fiscal and operational constraints, and show an example of our implementation.

Magnetic Ranking Cytometry: A High-Throughput Platform for Rare Immune Cell Isolation and Therapeutic Discovery
Zongjie (Daniel) Wang, PhD - Chan Zuckerberg Biohub

Quantum Detection Flow Cytometry
Masanobu Yamamoto, BS - Miftek Corp.

Signal amplification by cyclic primer extension enables high-sensitivity single-cell mass cytometry analysis
Xiaokang Lun, PhD - University of Minnesota Twin Cities

Simple Detection of RNA and DNA sequences in Extracellular Vesicles
Joanne Lannigan, MS - Stealth Oligos, LLC

Detection of prognostically important subgroups in chronic lymphocytic leukaemia using “immuno-flowFISH” and imaging flow cytometry
Henry Hui, PhD - The University of Western Australia

Imaging Flow Cytometric Identification of Chromosomal Abnormalities in Paediatric Acute Lymphoblastic Leukaemia
Kathy Fuller, PhD - The University of Western Australia

Real-time receptor occupancy to understand the effects of intracavitary conditioning in cancer metastatic to the pleura or the peritoneum.
Vera Donnenberg, PhD - University of Pittsburgh School of Medicine

Single-cell microbiota phenotyping reveals distinct disease and therapy-associated signatures in chronic inflammatory diseases
Hyun-Dong Chang, PhD - German Rheumatology Research Center Berlin

An EV-Based Approach to Optimize the Multiparametric Analysis of Extracellular Vesicles through Spectral Flow Cytometry: from Instrument Setup to Fluorochrome Selection
Achille Anselmo, PhD - IRCCS Ospedale San Raffaele

Assessment of microplastics and nanoplastics in commercial bottled mineral waters
Jordi Petriz, PhD - Germans Trias i Pujol Research Institute (IGTP)

Metrological Considerations for the Detection and Quantification of Extracellular Vesicles
Matthew Bourn, PhD - LGC Ltd

Spectral flow cytometry of dim particles
John Nolan, PhD - Scintillon Institute

Adaptive unmixing of spectral cytometry data prevents technical artifacts in downstream data analysis and improves marker resolution in high-parameter panels
Evan Greene, PhD - Ozette Technologies

compensAID: An automated detection tool for persistent spillover errors
Rosan Olsman, MSc - Erasmus MC, University Medical Center Rotterdam

Immune Cell Profiling by CyTOF in Healthy Children
Andrea Reitsma, BS - Stanford University

TRACE: An Interactive Visualization Tool for Evaluating and Interpreting 2D Embeddings of Single-Cell Data
Laura Hajzoková, MSc - Data mining and Modeling for Biomedicine, VIB-UGent Center for Inflammation Research

Multimodal integration of single cell and spatial proteomics dataset
Abhishek Koladiya, PhD - Stanford University School of Medicine

Multi-Modal Spatial Transcriptomics, Proteomics, and Histology of Affected Human Autoimmune Tissues on a Single Slide in the Accelerated Medicines Partnership®: Autoimmune and Immune-Mediated Diseases (AMP AIM) Network.
Caleb Marlin, PhD - OMRF

Spatial Profiling of the Tumor Microenvironment Using Imaging Mass Cytometry: Unraveling Metabolic Reprogramming and Cell Signaling Dynamics in Cancer
Christina Loh, PhD - Standard BioTools

Visualizing the early immune response to Mtb infection in the lungs of IV BCG-immunized NHPs reveals critical functions of polyfunctional T cells in protection
Allison Bucsan, PhD - NIH/VRC

Welcome to the next generation of cytometric data analysis: FlowJo™ Software Version 11
John Quinn, PhD

Analyzing single-cell data using a comprehensive toolbox of manual and automated methods is crucial for completing any assay. Dr. John Quinn, Director of Science and Product Development for FlowJo at BD Biosciences, will present a live tutorial on the thoroughly redesigned release, its usage, and future development plans. The platform highlights include a streamlined sample hierarchy, a new Metadata Manager, built-in quality control, an overhauled Compensation/Unmixing Wizard, a Graph Gallery, virtual concatenation, built-in clustering and charts, simplified table and report creation, a built-in Image Viewer, and an immersive design. Additionally, leading scientists who participated in beta testing will share their insights on the key benefits of FlowJo™ 11.

For Research Use Only. Not for use in diagnostic or therapeutic procedures. BD is a trademark of Becton, Dickinson and Company and its affiliates. © 2025 BD. All rights reserved. BD-145597(v1.0) 0325

Achieving More with Less: The Value of a Hybrid Photodetector (Hypereon) in Flow Cytometry
Stephanie Fullerton, PhD - Director, Life Science Marketing, Hamamatsu Corporation
Dr. Yuichiro Iwamoto - Tokyo University

Flow cytometry is an essential technique for multi-color analysis of cellular protein expression. Flow cytometry chemistry has evolved to include new dyes that extend into the UV and NIR, enabling more channels but also requiring more lasers and detectors. To capitalize on the information-rich potential of these system, panels must be carefully designed and accurate data analysis requires compensation or unmixing algorithms.

Last year, Hamamatsu introduced Hypereon - a novel hybrid technology that combines the advantages of conventional photomultiplier tubes (PMT) and avalanche photodiodes (APD). Through a combination of empirical and simulated data, we have demonstrated Hypereon’s benefits including broad spectral sensitivity, high signal-to-noise, wide dynamic range and simplified, one-gain operation. This year’s second chapter of the Hypereon will have two parts. First, we will unveil our Hypereon module solution, supported by additional data that underscores its value for flow cytometry. Next, we are excited to feature a Dr. Yuichiro Iwamoto, a distinguished researcher from Tokyo University, who will discuss practical applications for Hypereon.

As a detector, Hypereon redefines the boundaries of detectability. Indeed, the sensitivity of Hypereon can detect subtle factors previously obscured by noise, such as the influence of instrument-derived noise and Raman scattering of water in flow cytometry measurements. But sensitivity alone cannot achieve our goals of reduced instrument complexity and streamlined experimental design and analysis. To realize the full potential of Hypereon, the detector must also be cost effective for the system as well as easy to implement and simple to operate. Thus, we present our Hypereon module, a compact, all-in-one 32-channel detector and optics ensemble designed to maximize the benefits of Hypereon and lower the barriers to adoption in flow cytometry. For instrument manufacturers, Hypereon enhances the ability to make sophisticated and quantitative measurements while reducing the number of lasers. For researchers, this translates into simplified panel design, compensation-free data analysis, and high-quality AI-ready data.

We acknowledge that internal marketing presentations are often met with skepticism. To address this concern, we have invited Dr. Yuichiro Iwamoto to speak about his experience with Hypereon, specifically discussing emerging applications such as nano-particle detection. As with any new technology, the adoption curve varies. We invite you to be part of the leading edge and participate in the Hypereon origin story. We are dedicated to the success of this innovative sensor technology and we welcome your insight and feedback. Together we can revolutionize flow cytometry.

Enabling image cytometry applications with the dual-laser VERLO™ Image-Guided Cell Sorter and analyzer
Olivier Déry, PhD - NanoCellect Biomedical

The VERLO™ Image-Guided Cell Sorter expands upon NanoCellect’s gentle microfluidic-based cell sorting technology to enable researchers to visualize, analyze and sort cells based off image features and cell morphology. With two lasers and nine colors, plus 3 label-free parameters and a total of 12 imaging channels, VERLO™ introduces significant advances in imaging flow cytometry analysis and cell sorting. The seamless integration of brightfield imaging and fluorescent detection with the validated gentle microfluidic sorting capabilities of the WOLF Cell Sorter, NanoCellect pushes further the boundaries of cell analysis for scientific discoveries.

Accelerating Discoveries – Leveraging Aligned Workflows with FP7000 and ID7000 Spectral platforms
Deena Soni, PhD - Associate Director Global Marketing, Sony Biotechnology
Ana Longhini, PhD - Senior Manager, Global Scientific Affairs, Sony Biotechnology

The FP7000 Spectral Cell Sorter is designed to meet the demands of high-parameter cell sorting, integrating state-of-the-art spectral optics, advanced electronics, and robust fluidics to ensure precision, efficiency, and reliability. With its ability to handle complex multicolor sorting applications, the FP7000 provides researchers with the flexibility needed to analyze and isolate diverse cell populations while maintaining high purity, viability, and functionality. Easy system setup, guided software workflows and advanced sorting options enable a streamlined setup of experiments. By leveraging the aligned workflows between ID7000 and FP7000, researchers can seamlessly configure experiments and transition from analysis to sorting without the need for additional optimization, saving setup time and ensuring reproducibility.

In our presentation we will showcase the features and performance of the FP7000 Spectral Cell Sorter and share how it enables intuitive setup of diverse and complex applications. We will demonstrate how a 35-marker immunophenotyping panel can be effortlessly transferred from the ID7000 Spectral Cell Analyzer to the FP7000 Spectral Cell Sorter for high-speed sorting of multiple T cell subsets. The purified populations retain high viability and functionality post sorting making them suitable for downstream applications like cell culture and cytokine analysis. With its cutting-edge technology and streamlined workflows, the FP7000 empowers researchers use spectral cell sorting to accelerate scientific discoveries.

Comprehensive B cell and Myeloid Subsetting in Human Bone Marrow and Blood using the CytoFLEX mosaic Spectral Detection Module
Kelly Lundsten - Member Board of Directors, SOULCAP; Biotechnology Market and Technical Bioassay Consultant, Luminous Bioanalytical Consulting
John Bianchi Colangeli - Core staff member of the Broad Technology Space; Research Associate for the Lemieux Lab at Massachusetts General Hospital, Boston, MA
Andrew Patentreger - Senior Clinical Laboratory Lead of Flow Cytometry, Broad Institute of MIT and Harvard, Cambridge, MA

A comprehensive understanding of B cell maturation is crucial for deciphering the complex interplay of temporal and tissue-specific networks that guide their development—from their origin in the bone marrow niche to their immunological function in peripheral blood. Historically, the characterization of B cell subsets was limited to sixteen markers that captured the key microenvironmental influences shaping B cell ontogeny. However, advances in spectral flow cytometry instrumentation and reagents now enable a much higher parameter level to include additional markers to monitor aberrant myeloid and granulocyte protein expression relevant to hematological malignancies. In this study, we present a 35-fluorescent-parameter assay developed on the CytoFLEX Mosaic-88 with a near-UV laser option, designed to provide a comprehensive analysis of B cell and myeloid cell subsets. We will discuss the panel optimization process, insights gained from the Mosaic's performance, and present data from both healthy blood and bone marrow.

The Evolution Of Spectral Flow Cytometry: From Robust High Multiparametric Assays To Reproducibility And Harmonization
Maria C. Jaimes - VP Scientific Commercialization, Cytek Biosciences, Inc.

Full spectrum flow cytometry has significantly transformed the capacity for in-depth characterizations of immune responses by enabling the development of high resolution, multiparametric panels. Scientists and clinicians have rapidly transitioned from conventional to spectral technologies, thereby unlocking deeper insights into infectious diseases, vaccine development, autoimmunity, neurodegeneration, immunotherapy, and biomarker discovery. These comprehensive panels are frequently used for longitudinal and multicentric studies, that require a high level of consistency and reproducibility in instrument setup and performance across cytometers and sites.

In this tutorial, we will describe how Cytek is driving advancements in instrument harmonization across our full spectrum cell analyzers and cell sorters. We will showcase examples demonstrating the way our users have benefited from Cytek’s harmonization strategies to successfully conduct highly parametric evaluations with an outstanding level of reproducibility. In addition, we will discuss the need to advance harmonization initiatives aimed at ensuring accurate interpretation of data generated across time and sites that will benefit the entire flow cytometry community.

Is That image cytometry… or Is That image cytometry? – Building Clarity in a Growing Field
Jochen Behrends, PhD - Head of Core Facility Fluorescence Cytometry, Research Center Borstel, Leibniz Lung Center
Daniel Vocelle, PhD - Incoming Director of Flow Cytometry Shared Resources, St Judes Children's Research Hospital
Contributing Authors - Jochen Behrends, Daniel Vocelle, Beate Ramasz, Gelo de la Cruz, Daniel Gimeses, Moritz Winker, Òscar Fornas, Gert Van Isterdael, Jochen Lamote, Karen Hogg

With the rapid evolution of imaging flow cytometry, there is a pressing need for clarity around core concepts, methodologies, and terminology in image-based cytometry. What does “image cytometry” truly mean? Is it defined consistently across different sectors of flow cytometry? What parameters and insights should it provide?

This workshop will tackle these emerging questions by engaging participants through a collaborative discussion that delves into the essential definitions, parameters, and applications of image cytometry. We will review insights gathered from a pre-CYTO survey where participants are encouraged to share their own definitions, key terms and understanding regarding the specifics of image cytometry. Through guided discussions, polls, and consensus-building exercises, we aim to establish clarity on core terms and concepts that can be widely understood and adopted by researchers all over the world.

We will also explore recent advancements in imaging cytometers, comparing their unique capabilities, specifications, and operational costs. In addition, we’ll examine the role of high-content imaging systems, which bridge microscopy and flow cytometry, offering complementary or competing solutions in high-throughput research.

In the end, participants will contribute to a collective framework for defining image cytometry, identifying standard parameters, and refining the terminology that underpins this growing field. This workshop will be invaluable for scientists, researchers, and practitioners seeking greater consistency in the analysis, reporting, and application of image cytometry data.

Automating Immune Cell Annotation: a SOULCAP workshop
Ryan Brinkman, PhD, Dotmatics
Contributing Authors - Ryan Brinkman, Sarah Bonte, Justin Meskas, Sofie Van Gassen

One of the current challenges in the cytometry field is the lack of standardized naming of immune cell populations. When reading literature, it can be challenging to know whether researchers are talking about the same population you have in mind, depending on their full manual gating hierarchy. This is even more of an issue when computational analysis tools are used, as these pipelines typically end by describing clusters in the high-dimensional space without an immediate link to known immune cell populations. The ISAC-supported SOULCAP (Standardized Ontology Unique Labeling for Cytometry Annotation of Populations) initiative wants to tackle this challenge in a community-driven manner, by creating a set of well-defined immune cell populations, a reference database and algorithms which allow mapping new data onto this reference. In this workshop, we will discuss the key questions to make this last step possible.

Data Management and Sharing
Nicolas Loof, Master of Sciences, FlowJo / BD Biosciences
Contributing Authors - Nicolas Loof, Meredith Weglarz, Jessica Back, Benjamin Daniel, Cheryl Kim, William Murphy

Data Management encompasses all disciplines related to handling data as a valuable resource, involving annotation, storage, retrieval, securing, and organizing data.

The concept of Data Management arose in the 1980s as technology moved from sequential processing to random access storage. A 2014 study by Vines, et al.(1) showed that, the odds of obtaining underlying research data dropped 17% annually after the second year of publication. This emphasizes how critical effective data management is, especially since many funding agencies require up to 5 years of data retention and accessibility.

Historically, the researchers/users maintained primary data retention responsibility, but more recently SRLs are taking on and being held accountable for Data Management. This responsibility comes with many challenges, options and costs which SRLs must consider when making data storage decisions. With the recent developments in spectral and imaging Cytometry technologies resulting in drastic increases in file sizes, data storage is becoming more problematic than ever for both users and SRLs.

For many users and SRLs, Data Management has become a relevant subject, since there is not a single method that works for every use case. There is great value in sharing Data Management ideas and methods utilized in academic and industry SRLs throughout the ISAC community, including considerations for annotation, accessibility, and disbursement.

The goal of this workshop is to collect input from the ISAC community on the following topics:

1. What different platforms are available and used for Data Storage by SRLs in Academia and Industry? (e.g., Internal Server, Flow Repository, Dropbox, Google Drive, SharePoint, BD RC, Cytek Cloud, Cytobank )
2. What are the Pros and Cons of each method?
3. For each method, how accessible is this data to the community?
4. What metadata is needed to make the flow cytometry data FAIR (Findable, Accessible, Interoperable, Reusable).

(1) Vines TH, Albert AYK, Andrew RL, Débarre F, Bock DG, Franklin MT, Gilbert KJ, Moore JS, Renaut S, Rennison DJ. The availability of research data declines rapidly with article age. Curr Biol. 2014 Jan 6;24(1):94-97. doi: 10.1016/j.cub.2013.11.014. Epub 2013 Dec 19. PMID: 24361065.

Mastering Negotiations: Building Confidence for Professional and Personal Success
Sara Garcia Garcia, Bioinformatics and Biochemistry Masters, Amsterdam UMC,VUMC location
Contributing Authors - Sara Garcia-Garcia, Diana Ordoñez, Dra. Mariela Bollati-Fogolín, Dra. Estefanía Lozano Andrés

Negotiation skills are essential for achieving fair and favorable outcomes in both professional and personal settings. Despite this, many professionals feel unequipped to advocate for themselves effectively, especially in areas such as salary, maternity leave, flexible work arrangements, and role expectations. Challenges in negotiation often stem from limited practice, unclear strategies, or lack of confidence. This workshop will provide participants with the tools and techniques necessary to approach negotiations with confidence, covering a variety of scenarios that are critical in professional environments and personal life. Key questions to be explored in the workshop include:

• How do you define negotiation, and why is it essential for professional and personal success?
• What strategies can help you prepare effectively and identify your objectives in a negotiation?
• How can you build confidence and overcome psychological or cultural barriers, including gender-related challenges, in negotiation?
• What techniques will help you manage setbacks and stay resilient when negotiations don't go as planned?
• How can professionals effectively prepare and approach for salary/compensation, parental leave or flexible work arrangements negotiations?

Standardisation of Spectral Flow Cytometry
Rachael Walker, PhD, & Sam Thompson, PhD, Babraham Institute
Contributing Authors - Rachael Walker, Sam Thompson, Katrien Van der Borght, Julie Van Duyse, Sam J. Small, Charlotte Christie Petersen, Vera Tang

During the past 5 years there has been an increase in the number of spectral flow cytometers on the market and they are now in common place within the laboratory. End users are finding huge advantages in this technology, however there is a lack of standardisation. As more cytometry manufacturers bring systems to the market and labs are starting to have systems from different manufacturers in the lab, questions are starting to be asked about how to compare results from different instrumentation.

Different manufacturers use different unmixing algorithms which can lead to uncertainty in results when comparing data and also with post-acquisition analysis. Different manufacturers use different nomenclatures which can get confusing when using different instruments and comparing results and also to interpret data that is published.

This workshop aims to provide an overview of the current full spectrum flow cytometry landscape. We will explore the specific challenges posed by the diversity of spectral instruments in the field, discuss generated data on these instruments and propose strategies to try and standardise experiments across these platforms through audience participation.

We encourage all involved with spectral cytometry to come together for this workshop including but not limited to users, SRL staff, instrument manufacturers, software developers and reagent manufacturers.

Susan Spitz, PhD - Senior Director, Incyte Research Institute Read Bio

Flow Cytometry in the Pharmaceutical Industry: From Bench to Bedside
The use of flow cytometry (FCM) in the pharmaceutical industry has evolved and expanded over the years. The platform now supports the full life cycle of a drug's development, ranging from biological proof-of-concept and proof-of-mechanism studies to completion of secondary and exploratory endpoint objectives in clinical trials. Specific areas of pharmaceutical FCM include drug discovery, clinical trials, precision medicine, disease modeling with mouse and human models, drug safety, PK/PD studies, drug product release, and extensive novel investigational biomarker studies. In this session we will explore examples of the use of flow cytometry at these various stages of development which will set the foundation to dive deeper into more specific applications during the subsequent talks.

Raffaello Cimbro, MSc - Read Bio

Flow Cytometry in BioPharma: Driving Innovation from Discovery to Clinical Application
Flow cytometry is arguably the only single-cell resolution technology that combines high-throughput capabilities with fast turnaround times and cost-effectiveness. Over the last decade, it has rapidly evolved with the widespread adoption of spectral flow cytometry, the introduction of next-generation imaging cytometers, and the development of new fluorochromes. These advances have made flow cytometry an indispensable tool in BioPharma, supporting the entire workflow from drug candidate identification to biological validation and clinical translational research. This presentation will offer a perspective on the influence of flow cytometry within a large BioPharma setting and how AstraZeneca utilizes cutting-edge technologies and automation to support cell therapy, immunology, and vaccine development, analyzing over two million samples each year. We will explore the challenges and solutions in leveraging and integrating these technologies into workflows, the role of automation in enhancing efficiency and reproducibility, and their impact on advancing the R&D and clinical pipeline.

Garrett Collett, BS - Read Bio

Applications for Spectral Flow Cytometry in CAR-T Characterization
CAR-T cell therapies have changed the therapeutic landscape for hematologic malignancies since the first approval by the FDA in 2017. However, certain hurdles remain, including cost, process optimization, and limited solid tumor infiltration, representing opportunities for innovation and discovery.

The advent of spectral cytometry has greatly increased the number of parameters that can be measured simultaneously, allowing researchers to make novel biological connections that would have been impossible only years ago. Incorporating this technology into the CAR-T landscape will be critical for scientists to better surmount the limitations described above.

Bristol Myers Squibb has leveraged spectral cytometry to answer several questions focused on CAR-T product development. Broadly, this talk will examine the evaluation and implementation of spectral cytometry to characterize cell therapy drug products.

Bernd Bodenmiller, PhD - Read Bio

Novel Approaches for Highly Multiplexed Protein Tissue Imaging
Cancer is a tissue disease in which heterogeneous tumor cells, stromal cells, and immune cells interact within a dynamic ecosystem that evolves to support tumor expansion and, ultimately, metastasis. The complexity of this system remains one of the greatest challenges in effective cancer treatment.

Recent advancements in highly multiplexed protein imaging have opened new avenues for studying tumor ecosystems and their intricate cell-to-cell communication. Understanding these interactions is essential for deciphering tumor biology, defining novel biomarkers, and identifying new therapeutic strategies and targets.

In this presentation, I will discuss the current state of highly multiplexed tissue imaging technologies and introduce novel developments from my group aimed at overcoming existing limitations. These include X-ray fluorescence imaging for large-volume tissue analysis, peptide-tagged antibodies for high-throughput 150+ plex imaging, and AI-driven data augmentation tools, all of which are set to transform our ability to decode tumor complexity and advance precision oncology.

Emily Gibson, PhD - Read Bio

Development of miniature microscopes for neural recording and optogenetic modulation in freely moving animals
Understanding how the brain’s complex neural networks perform critical functions and govern behavior, cognition and intuition is a key goal of neuroscience and can lead to improved treatment for various neurological disorders. The development of new tools for studying the brain is critical in this effort. Light microscopy has greatly expanded the capabilities for minimally invasive cellular-level biological studies and in combination with genetically encoded fluorescent indicators allows unprecedented real-time imaging of neural activity. Although imaging in head fixed animals has greatly advanced the field of neuroscience, certain behaviors can only be studied in a freely moving animal in a naturalistic environment. I will discuss our recent work on the development of miniature multiphoton fiber-coupled microscopes for 3-D, multiplane imaging and optogenetic neuromodulation and their applications for advancing new studies in the neuroscience field.

Acoustic Focusing Imaging Flow Cytometry for Accurate Singlet Identification
Jordi Petriz, PhD - Germans Trias i Pujol Research Institute (IGTP)

High-sensitivity and high-throughput analysis of rare extracellular vesicles enabled by deep learning-driven flow cytometry
Yuichiro Iwamoto, PhD - The University of Tokyo

Inertial mechanophenotyping of cells and particles in a serial microfluidic fluorescence cytometer
Graylen Chickering, BS - Brown University

Platform for large-scale analysis of challenging and difficult-to-handle cell types at single cell resolution spanning longitudinal multi-modal measurements
Pier Federico Gherardini, PhD - Cellanome

Longitudinal Immunophenotyping by Flow Cytometry to Facilitate Biomarker Discovery in Human Disease.
Kathryn Hally, PhD - University of Otago

Single-cell Procollagen Secretion Phenotyping and Sorting Using Functionalized Nanovials
Yuta Nakagawa, PhD - University of California, Los Angeles

Stain-free Drug Screening using Nanowell-in-microwell Plates
Pan Deng, Master - The University of British Columbia

T Cells infiltrating Malignant Pleural Effusions are Quiescent Effector Cells
Albert Donnenberg, PhD - Allegheny Health Network

A Full Spectrum Cytometry Combined AIM/ICS Approach for In Depth Antigen-Specific T Cell Immunophenotyping in Infant Samples
Alexander Nicols, PhD - University of California, San Diego

Development and use of a 41-color spectral flow cytometry panel for deep immunophenotyping of systemic immunological changes in non-human primates after administration of a VSV-vectored Nipah vaccine
Alyssa Fears, PhD, MPH&TM - Galveston National Lab, University of Texas Medical Branch

Single-Cell Multi-OMICs and Functional Immune Profiling Reveal Increased Innateness and Interferon-Driven Pathways in Behçet’s Disease Skin and Blood
Saba Khoshbakht, PharmD - Koç University

The impact of age and sex on the human immune system revealed by high-dimensional flow cytometry in 2089 healthy individuals
Thomas Liechti, PhD - National Institutes of Health

Advancing CAR T Cell Therapy Monitoring: A Novel Spectral Flow Cytometry Assay for Pharmacokinetics and Immunophenotyping in Clinical Studies
Kevin Lang, PhD - PPD part of Thermo Fisher Scientific

Computational analysis of high-dimensional cytometry data yields interpretable insights into donor selection for allogeneic cell therapy development
Cherie Green, PhD - Ozette Technologies

Navigating the Metabolic Maze: Unveiling the Impact of Cell Sorting Techniques on Metabolic Profiles
Lidiia Rumiantseva, Master - KU Leuven

Role of TWEAK-NF-κB-ɑVβ3 axis in chemoresistant 3-D growth of ovarian cancer using novel large particle imaging flow cytometry
Mikella Robinson, PhD - San Diego State University

A rapid excitation scan-based fluorescence microscopy approach for real-time measurements of second messenger signals
Naga Annamdevula, PhD - University of South Alabama

Advancing Cellular Analysis: A Comprehensive Workflow using Label-Free Spectral Flow Cytometry and Imaging
Laura Ferrer Font, PhD - Becton Dickinson

Label-Free Identification of a Metabolically Distinct Cellular Subset in Embryoid Body Differentiation via conventional, spectral and imaging flow cytometry technologies
Silvia Bombelli, PhD - Human Technopole

Multiplex Immunofluorescence Imaging Acquisition, and Spectral Imaging Data Analysis for Cancer Cell and Tissue Immune Phenotyping Applications Using Coluxa Spatial CytoScanner, a Novel High-Speed Automated Fluorescence Imaging Cytometer
Tiangfang He, BA in Music and Biochemistry - Albert Einstein College of Medicine

Advanced Spectral Cell Sorting Made Easy: Combining Performance And Flexibility With The Cytek Aurora™ CS System
Monica DeLay - Director of Field Applications Support, Cytek Biosciences, Inc.
Oscar Fornas - Head of Flow Cytometry Unit, Centre for Genomic Regulation (CRG), Pompeu Fabra University (UPF), Barcelona, Spain

The Cytek Aurora CS system seamlessly integrates high-performance spectral flow cytometry with advanced yet user-friendly cell sorting capabilities. Designed to match the optical performance of our spectral analyzers and deliver high-quality results in the most complex sorting experiments, the Cytek Aurora CS system has empowered researchers worldwide to tackle a broad array of biological questions with confidence.

This presentation explores the key software and hardware innovations that allow users to optimize sorting conditions for maximum purity, recovery, and efficiency. We will highlight applications that leverage the Aurora CS system’s superior optical performance and advanced software tools, such as multiple autofluorescence extraction for complex samples and six-way sorting across all available nozzle sizes. Additionally, we introduce novel applications, including the sorting of small particles, supported by the Enhanced Small Particle™ (ESP™) Detection Option; specifically, we will discuss sorting of marine virus populations based on genome size and the potential to facilitate environmental studies. Finally, we outline recommended workflows for successful sorting into various collection vessels, including 384-well plates, ensuring robust performance across a breadth of experimental needs. By seamlessly integrating high-resolution spectral cytometry with precision sorting, the Aurora CS system enables researchers to push the boundaries of single-cell and microbial research, accelerating discoveries for a wide range of scientific disciplines.

Join us to discover how the Cytek Aurora CS system can elevate your sorting workflows with unparalleled performance, efficiency, and ease of use.

Cellular Controls Showcase: Advancing Compensation, Viability, and Biomarker-Specific Assays with Cell Mimics
Sarah Kotanchiyev, MLS - Slingshot Biosciences

Join Slingshot Biosciences for a collaborative lunch session showcasing the impact of precision-engineered cell mimics across key flow cytometry applications, including compensation, viability, and biomarker-specific assays.

Led by Slingshot Biosciences’ Field Application Scientist Manager, Sarah Kotanchiyev, MLS (ASCP)CM, this session will highlight recent collaborations demonstrating how cell mimics are enabling more standardized, reproducible workflows. We'll explore use cases in cell therapy development, spectral unmixing for infectious disease panels, and immunophenotyping assays — with insights from applications on both spectral flow cytometers and compact platforms.

Whether you’re working to qualify critical reagents or improve assay consistency, this session will offer actionable perspectives on implementing advanced cellular controls.

Enhancing Cell Sorting Efficacy with Imaging-Enabled Flow Cytometry and Automated Morphology Analysis: Workflow Integration of the Attune CytPix with the Bigfoot Spectral Cell Sorter for Sample Quality Assessment and Advanced Morphological Cell Identification
Nate Trujillo, PhD - Manager, R&D Applications, Flow & Imaging Technologies, Protein & Cell Analysis, Thermo Fisher Scientific
Mike Ward, PhD - Sr. Staff Engineer, Systems Engineering, Flow & Imaging Technologies, Biosciences Division, Thermo Fisher Scientific

The integration of advanced imaging cytometry with traditional cell sorting techniques offers a transformative approach to cellular analysis and sorting. In this presentation, we explore the synergistic use of the Invitrogen™ Bigfoot Spectral Cell Sorter and the Invitrogen™ Attune™ CytPix™, an imaging-enabled flow cytometer, to enhance the precision and reliability of cell sorting processes. By leveraging the high-resolution imaging capabilities and additional morphological parameters of the Attune CytPix, we can perform a pre-sort assessment to evaluate cell quality, refine gating strategies, and ensure proper populations are sorted to improve the overall efficiency and accuracy. After sorting, the Attune CytPix can be used to verify the purity and composition of the sorted cell populations. This step is essential for validating the success of the sorting protocol and ensuring that the intended cell subset has been accurately isolated.

This study also investigates employing the Invitrogen™ Attune™ CytPix™ to perform automated morphology analysis of acute myeloid leukemia (AML) samples. With a new, superior machine learning model, the Attune Cytpix brings the benefits of brightfield imaging to introduce new morphological parameters and high dimensional tools such as uMAP for added data visualization and analysis. Using this technology, a cell is selected, and the software automatically searches for similar cells. From this data, we found that less than 1% of the sample showed cell binding between hyperdiploid leukemia cells and white blood cells. This methodology facilitates the detection of rare hyperdiploid cells, and their interactions with white blood cells – a phenomenon that reduces detection of leukemia cells and thwarts therapeutic efforts. The ability to discern different AML phenotypes based on morphology opens new avenues for research and therapeutic interventions, significantly advancing the field of leukemia research and treatment.

Ensuring Consistent Results in Spectral Flow Cytometry: Standardized inter- and intra- platform data using ID7000 and FP7000 spectral systems
Koji Futamura - Senior Manager, Global Scientific Affairs, Sony Biotechnology Inc.

It is recognized that maintaining consistent instrument performance is crucial between experiments, particularly when acquiring single-stained controls and multi-color sample, when using Spectral flow cytometers. This consistency allows for the reuse of spectral references in unmixing calculations. Ensuring uniform performance across these instruments becomes even more important when multiple instruments are employed for data collection in cross-site studies. Sony flow cytometers offer the standardization feature, which can now be applied not only to the ID7000 Spectral Cell Analyzers but also to the new FP7000 Spectral Cell Sorter. The improvements facilitates standardization across different platforms and enables easier panel portability.

CytoFLEX nano: Defining better data through dynamic range, sensitivity, LOD, and Multiple Light Scattering
John Tigges - Principal Associate in Medicine Harvard Medical School, Director of Flow Cytometry and Extracellular Vesicle Detection Beth Israel Deaconess Medical Center

In this presentation, one will learn what makes the CytoFLEX nano flow cytometer a unique and powerful instrument for nanoparticle science and characterization.

From Proteome to Prediction: Multi-Omic Strategies Driving Clinical Trial Breakthroughs
Helen McGuire, PhD - Translational Immunology Group School of Medical Science, Faculty of Medicine and Health, The University of Sydney

Growing adoption of multi-omic technologies is transforming immune monitoring in clinical studies by integrating multivariate findings to improve disease detection and enhance clinical outcome predictability. Helen McGuire, PhD, from the University of Sydney, will present a novel workflow for immune monitoring that simplifies sample collection in multi-site clinical trials, particularly benefiting remote and underrepresented populations. She will also introduce an innovative approach that integrates CyTOF™, SomaScan™ and Imaging Mass Cytometry™ (IMC™) datasets to maximize clinical trial information while reducing complexity in study design.

Revisiting reproducibility in longitudinal studies: agreement on minimum standards and best practices
Kathryn Hally, PhD, University of Otago
Contributing Authors - Kathryn Hally, Laura Ferrer-Font, Ana Longhini, Sam Small, Megan McCausland

Longitudinal flow cytometry studies are critical to advance our understanding of human disease, but are complex to plan and execute. This is, in large part, because extensive standardization is required from design through to analysis. We also acknowledge that designing a longitudinal study differs depending on the type of user(s) conducting the study, their knowledge base and available resources, and the intended use of the flow cytometry assay. At CYTO2024, we collated the community’s knowledge and needs for longitudinal flow cytometry study design. This included considerations for panel validation and qualification, antibody and reagent lot control and qualification, instrumentation, inter-operator and inter-site considerations, and batch effects and controls. In this workshop, we now intend to discuss our minimum requirements and best practices for these considerations based on contemporary guidance.

In doing so, we aim to:
1) Collect opinions on these minimum requirements and best practices.
2) Define potential impediments to implementing current guidance.
3) Identify where new guidance is needed, and where current guidance requires clarification.
4) Understand what users needs from commercial vendors and instrument manufacturers to facilitate longitudinal studies.

Developing an OMIP-Worthy Panel
Joanne Lannigan, MS, Flow Cytometry Support Services, LLC
Contributing Authors - Joanne Lannigan, Florian Mair, and Maria Jaimes

Panel development and optimization are key components of flow cytometry experiments, irrespective of the number of markers probed. While there are guideline articles available, there is no consensus on what constitutes a sufficiently optimized panel. Regardless of whether you plan to publish your panel as an OMIP or just employ it in your research, understanding all the critical steps necessary to ensure a successful panel is what this workshop will address. Key questions that would be answered through discussion groups include the following:

1. How do you approach fluorochrome and reagent selection?
2. How do you assess and address the accuracy of compensation/unmixing?
4. Which controls are necessary to QC your data?
5. How do you assess marker resolution and how to improve it if needed?
6. How do you know when your data is good enough?

FCS 4.0 Standard: Community Feedback and Future Directions
Andrea Wang, MS, AHEAD Medicine Corporation
Contributing Authors - Andrea Wang, Chris Ciccolella, David Ng, Jonathan Irish, Josef Spidlen, Kamila Czechowska, Ray Chen, Ryan Brinkman, Xuehai Wang

The rapid evolution of cytometry technologies, from spectral to imaging cytometry, demands a modernized data standard to capture their full complexity. The 2019 Flow Cytometry Standard (FCS) 4.0, draft represents a potential significant advancement in the standardization of flow cytometry data files. However, to truly support next-generation data analysis tools and large-scale meta-analyses, further enhancements are essential.

This workshop convenes key stakeholders to:
- Discuss critical updates to FCS 4.0
- Share experiences and challenges
- Explore enhancements based on user feedback and technological advances
- Form a task force for completing development and approval
Key questions we'll tackle include:
- Metadata Upgrades: What improvements are needed in metadata to fully support spectral and imaging cytometry?
- Data Standardization: How can we enhance data headers and establish essential information standards within FCS 4.0?

Frontiers in Quantitative Flow Cytometry
John Nolan, PhD, Scintillon Institute
Contributing Authors - John Nolan, Virginia Litwin, James Wood, Bartek Rajwa, Jonathan Irish, Lili Wang

Analytical rigor and experimental reproducibility are major issues in modern science, and numerous efforts at the community and government levels are directed to addressing deficiencies in these areas. Contributions from many individuals and organizations to the understanding and practice of quantitative flow cytometry over the past 30 years have made it one the most rigorous and reproducible bioanalytical platforms, enabling complex, high parameter assays to be performed in multi-instrument, inter-laboratory, and longitudinal studies.

The goals of this Workshop will be to discuss 1) discuss current best practices for calibrating and validating flow cytometry instruments and assays, 2) the implementation of best practices in different environments, and 3) identify and prioritize major challenges and opportunities for improving the practice of quantitative cytometry. Format will include brief presentations and moderated discussion.

Global Perspectives on Addressing and Negotiating Flow Cytometry Service Contracts: A Collaborative Approach
Stacie Woolard, PhD, St. Jude Children's Research Hospital
Contributing Authors - Stacie Woolard (chair), Michele Black, Kathleen Brundage, Uttara, Chakraborty, Camille Stegen, Gert Van Isterdael, Richard Grenfell, Tim Bushnell, Catarina Martins, Donald Ruhrmund, Norman Chow, Christopher Hall, Michael, Thompson, Randall Grose, Marjolijn Hameetman, Matthew Cochran, Barbara Oliveira, Meredith Weglarz"

In December 2023, the ISAC SRL Outreach Subcommittee distributed a survey aimed at exploring perspectives on instrument service contracts. This survey was tailored for SRL members, core administrators, and participating vendors and over 150 individuals responded. In the April 2024 issue of the ISAC SRL Newsletter, we delved deeper into the survey findings, featuring more in-depth insights gathered from a selection of SRL staff members and a vendor. The main conclusion from this survey is that service contracts are considered essential, but their cost takes a significant share of a core’s budget, and that there is a need to continue this conversation.

Service contracts for flow cytometry equipment are vital to the smooth operation of (SRLs. However, negotiating favorable terms can be challenging due to the complexity of contracts and varying institutional policies. This workshop will explore global perspectives on service contracts, providing a platform for SRL leaders to share insights, best practices, and strategies for fostering a more collaborative working environment with vendors. The discussion will focus on negotiation techniques, understanding contract terms, and improving relationships with vendors to meet the evolving needs of core labs.

Empowering Cytometry in Latin America: Education, Equity, and Global Impact
Mariela Bollati-Fogolín, PhD, 2025 Howard Shapiro Award Winner - Read Bio

This presentation highlights a decade-long commitment to democratizing cytometry education and strengthening scientific capacity in resource-limited settings. Through a range of initiatives—from foundational workshops to advanced training—we have empowered hundreds of emerging scientists across Latin America and the Caribbean. I will share examples of how inclusive, hands-on educational models have built bridges across institutions and countries, with flagship events attracting participants from over 15 nations. These efforts emphasized local relevance, problem-solving, and collaboration. The talk will reflect on the power of community-building, mentoring, and representation in shaping global strategies for equitable access to cytometry—efforts that drive collective progress toward a more inclusive, connected scientific community and contribute to global health, in the spirit of “turning knowledge into opportunity.

Conducting Clinical Trials in Low- and Middle-Income Countries: Understanding the Preanalytic and Logistic Challenges
Russell Wiener, PhD - Read Bio

Conducting clinical trials in low- and middle-income countries (LMICs) presents unique challenges, particularly when it comes to the preanalytic and logistical aspects of bioassays. These challenges are often exacerbated by infrastructure limitations, including unreliable power supplies, inadequate access to clean water, workforce instability, and social or political unrest. Successfully navigating these obstacles requires not only meticulous planning and problem-solving but also an unwavering adaptability and resilience. It is essential to have contingency plans in place and a proactive mindset to ensure the continuity of care and meet the needs of underserved patient populations. The ability to remain flexible and resourceful in the face of these challenges is crucial to conducting high-quality clinical research in these settings.

International Efforts for Global Standardization
Virginia Litwin, PhD - Read Bio

This Rapid-fire Presentation will focus on the importance of documentary standards in global health. An introduction to the flow cytometry guidance documents from the Clinical and Laboratory Standards Institute (CLSI) will be provided along with the process for developing actual consensus documents.

Flow Cytometry in BioPharma: Driving Innovation from Discovery to Clinical Application
Lili Wang, PhD - Read Bio

NIST Flow Cytometry Standards Consortium Enables Quantitative and Comparable Measurements for Regenerative Medicine Advanced Therapies

SOULCAP: Global Standardization of Immune Cell Population Identification and Semantic Annotation
Ryan Brinkman, PhD - Read Bio

Inconsistent cell population annotation practices in cytometry create critical barriers to data interpretation, cross-study integration, and experimental reproducibility—fundamental challenges that slow the advancement of immunology research, pharmaceutical development, and clinical trials. The SOULCAP (Standardized Ontology Unique Labeling for Cytometry Annotation of Populations) initiative, endorsed by the five major international cytometry societies, brings together a global coalition of academic researchers, clinicians, industry leaders, and regulatory authorities to revolutionize population annotation standards. This comprehensive initiative drives innovation through four interconnected pillars: establishing international consensus on phenotypic marker combinations, developing user-friendly open-source annotation tools, implementing rigorous validation protocols for reagent panels and software in canonical cell population identification, and creating a unified naming framework that seamlessly integrates with emerging single-cell technologies. By addressing these fundamental challenges, SOULCAP promises to dramatically enhance research reproducibility, expedite therapeutic development pipelines, unlock the full potential of AI/ML applications in cytometry, and optimize regulatory workflows. This transformative initiative represents a paradigm shift in cytometry practices that will accelerate discoveries across the immunology landscape.

Oliver Otto, PhD - Professor of Cellular Biophysics, University of Greifswald - Read Bio

From single cells to emergent properties of life: insights through mechanocytometry
The mechanical properties of cells have long been established as a sensitive and label-free biomarker for cell and tissue function. While mechanical cell assays have traditionally been limited to low throughput or small sample size, our development of real-time deformability cytometry (RT-DC) enabled analysis rates exceeding 1,000 cells per second. In my presentation I will share my vision how RT-DC opens new perspectives in life science research by highlighting fundamental concepts, e.g., virtual fluidic channels to create microfluidic constrictions of variable cross-sections inside glass cuvettes within seconds. Furthermore, I will showcase the translational potential of RT-DC, such as monitoring the invasion of the malaria parasite into erythrocytes and investigating the thermomechanical properties of red blood cells – a potential step toward achieving safe synthetic torpor for applications in medicine and space flight.

Rebecca Ihrie, PhD - Visiting Professor, Pediatrics - Neurology, University of Colorado Anschutz Medical - Read Bio

Quantifying Position, Neighborhoods, and Signaling in Brain Tissues
The positioning of a proliferative cell in the brain can profoundly impact its activity and fate in both development and disease. The local environment of brain subregions also modulates cells of other lineages, including immune populations. High-dimensional cytometry provides essential tools for dissecting the many complex and overlapping populations in the brain, and discerning how the activity of one population affects its neighbors. In this talk, I will detail how our use of multiple imaging cytometry modalities and development of computational tools has revealed biological mechanisms driving tumor development and persistence in the brain’s largest stem cell niche, highlighting potential windows of opportunity for clinical intervention.

Characterizing monocyte cell subtypes using mass cytometry in Ugandans with and without HIV, tuberculosis, and atherosclerotic cardiovascular disease
José Cobeña-Reyes, PhD - Cincinnati Children's Hospital Medical Center

High levels of HIV-1-specific polyfunctional CD8+ and CD4+ T cells are associated with post-treatment control of HIV-1.
Rikke Olesen, MD, PhD - Aarhus University

Neutrophil PD-L1+ is involved in the exacerbation signature of the hyperinflammatory phenotype septic response
Guilherme Cebinelli, PhD - Hospital Israelita Albert Einstein

What 1 million papers teach us about flow: the long tail of disease-associated subtypes
Dan Freeman, PhD - terraFlow

Deep-Immunophenotyping Panels in Clinical Trial Testing: Driving Efficiency Through Automation
Taryn Mockus, PhD - GSK

Novel functional diversity of human T cells is revealed through the unprecedented resolution of intracellular cytokines, transcription factors and phosphoproteins using mass cytometry (CyTOF)
Jennifer Snyder-Cappione, PhD - Boston University

Optimized Workflow for High-Parameter Myeloid Cell Profiling in Models of Pancreatic Cancer
Diana Carolina Vargas Carvajal, MS - Johns Hopkins

Spectral hotspot analysis reveals unmixing-dependent spreading
Peter Mage, PhD - BD Biosciences

Dynamic single-cell characterization of antigen-specific activation of TCR-engineered T cells using time-lapse flow cytometry
Yulia Shulga, PhD - LASE Innovation

Implementation of a Novel 50+ Parameter Cytometry Benchmarking Immune Phenotyping Workflow for Multicenter Clinical Trials to Improve Equity in Cancer Prognosis for Individuals in Remote Settings.
Natalie Smith, BSc - The University of Sydney

Multidimensional profiling of human T cells reveals high CD38 expression, marking recent thymic emigrants and age-related naive T cell remodeling
Pavla Bohacova, PhD - Washington University in St Louis

Ultra-deep characterization of T Cells: Unprecedented simultaneous measurement of transcription, translation, and post-translational markers in an activated T cell
Pratip Chattopadhyay, PhD - Talon Biomarkers

Changes in CAR T-cells manufacturing conditions yield to distinct T cell differentiation states, metabolic poise, and cytotoxic function
Laurissa Ouaguia, PhD - Agilent

Development of a customizable mouse backbone panel for spectral flow cytometry to delineate immune cell populations in normal and tumor tissues
Rui Gardner, PhD - Memorial Sloan Kettering Cancer Center

Machine Learning-Based Biomarker Development for Immunotherapy Response Prediction in Resectable Hepatocellular Carcinoma: A Single-Center Study
Yu-Fen Wang, Master of Science - AHEAD Medicine Corporation

Nanovials as a Platform to Elucidate Tumor-T Cell Interactions and Identify Potent TCRs
Sevana Baghdasarian, MS in Chemical Engineering - University of California, Los Angeles (UCLA)

Analyzing Photodetectors Individually to Develop Standard Operating Conditions  
James Wood, PhD - Consultant

Comparable and Standardized Antigen Expression analysis by Flow Cytometry
Linhua Tian, MS - National Institute of Standards and Technology (NIST)

Preprocessing – The unsung hero of cytometry data analysis
Annelies Emmaneel, PhD - VIB-UGent Center for Inflammation Research

Time-resolved studies for quantitative characterization and standardization for quantum cytometry
John J. Gonzalez-Murillo, MSc - Miftek Corporation

Standardizing Flow Cytometry: Advances in Antibody Preparation and Automation for Reliable Immune Monitoring
Holden T. Maecker, PhD - Professor of Microbiology and Immunology, Director, Human Immune Monitoring Center, Stanford University
Lili Wang, PhD - NIST Fellow, National Institute of Standards and Technology
Virginia Litwin, PhD - Director, Scientific Affairs Eurofins

As flow cytometry continues to be central to both clinical and research immunophenotyping, the need for robust standardization and practical automation is more critical than ever. This workshop will address key challenges in reproducibility, the automation of antibody cocktailing, and standardization efforts that can scale across laboratories.

We will explore advances in sample preparation automation—particularly centrifuge-free workflows—and the real-world pitfalls that labs encounter during assay transition or system implementation.

Dr. Holden Maecker (Stanford University) will share insights on automating multi-parametric immune monitoring workflows and how that impacts data harmonization. Dr. Lili Wang (NIST) will discuss validation metrics, and standardization approaches within NIST’s framework. Dr. Virginia Litwin (Eurofins), Chair of the CLSI H62 guideline, will moderate the session and provide perspective on standardization frameworks and regulatory considerations for validating antibody panels.

The session will conclude with a panel discussion and audience Q&A featuring all three speakers, exploring real-world applications of these approaches in clinical research and regulated environments.

Talk to Your Data. Planning an AI strategy for immunophenotyping workflows
Faris Naji - Co Founder, Tercen Data Analytics Ltd.
Myrto Kostadima - Senior Project Manager, Tercen Data Analytics Ltd.

A.I. holds great promise for improving flow cytometry data analysis whether by automating processes, reducing subjectivity, or covering gaps in a biologists skillset (such as bioinformatics). But, Core Labs are often blocked because of concerns about validation and fears about introducing new biases or overlooking important findings.

In this tutorial we will showcase how effective integration of A.I. into existing workflows is possible and will give you advice on how to go about planning an AI strategy for your lab. Tercen provides advanced data visualization and automated cell annotation, enabling precise, high-throughput immunophenotyping. The Tercen framework allows for a safe and efficient use of artificial intelligence, unlocking powerful capabilities without compromising data integrity.

Enhancing Flow Cytometry Core Facility efficiencies: Leveraging the Thermo Fisher Attune Xenith Flow Cytometer and Bigfoot Cell Sorter
Rachael Walker, PhD - Head of Flow Cytometry, Babraham Institute, Cambridge, UK
William Kang - Staff Scientist R&D, Thermo Fisher Scientific

Flow cytometry Core Facilities play a pivotal role in advancing research, requiring state-of-the-art tools to meet the demands of high-throughput and sometimes complex analyses. This talk will focus on the transformative impact of the Thermo Fisher Bigfoot Cell Sorter and Attune Xenith Flow Cytometer within these facilities. The Thermo Fisher Bigfoot Cell Sorter is a game-changer, offering exceptional sorting speed and precision, which significantly reduces processing times and increases sample throughput. The Attune Xenith Flow Cytometer, with its advanced spectral flow cytometry capabilities and acoustic focusing, allows for the simultaneous detection of multiple fluorochromes with high resolution and accuracy. These instruments not only enhance the analytical capabilities of core facilities but also provide substantial time savings, enabling more efficient workflow management and resource utilization. By integrating the Bigfoot Cell Sorter and Attune Xenith Flow Cytometer, at Babraham Institute, we have been able to achieve new levels of performance and productivity, ultimately driving forward scientific discovery and innovation.

Optimizing your experiment across different spectral instruments using Agilents’ NovoCyte Opteon as a reference
Beatriz Teixeira - Sr. Scientist, Francis Crick Institute
Garret G. Guenther - Agilent Technologies

With the increasing availability of new spectral instruments; it is important to understand how each of these systems operate, what are their strengths, and how can they simplify your experiments? But, more importantly, how can you get reproducible results across platforms? Different spectral machines will have different advantages; however, all of them can produce good quality data upon experimental optimization.

39-color immune checkpoint flow cytometry panel - advancing spectral cytometry analysis with BioLegend’s novel fluorescent conjugates
Paula Araya, PhD - Read Bio

Spectral cytometry has revolutionized flow cytometry by harnessing full emission spectra. This advancement enables higher multiplexing and has resulted in increased demand for novel fluorophores and conjugates for deeper cell analysis. Here, we introduce BioLegend's cutting-edge conjugate families: Spark PLUS and StarBright, designed to fill critical spectral gaps and/or provide alternatives with superior performance. We explore their unique characteristics and show improvements to an existing 39-color Immune checkpoint panel. The new conjugates can replace previously used conjugates maintaining performance. The superior dye features results in higher resolution for several markers, improving data quality. Thus, BioLegend’s innovative technology offers unparalleled capabilities in multiparameter flow cytometry analysis.

Elena Hsieh, MD - Read Bio

Inborn errors of immunity in pediatric autoimmunity: Making the Case for Deep Immunoprofiling
Primary Immune Regulatory Disorders (PIRD) are a growing subset of diseases referred to as inborn errors of immunity. Unlike classical primary immune deficiency disorders that typically present with severe, recurrent, or unusual infections, the clinical manifestations of PIRD are dominated by immune-mediated pathology such as autoimmunity/inflammation, hyperinflammation, lymphoproliferation, malignancy, and severe atopy. In this talk we will cover inborn errors of immunity with PIRD presentation and a demonstration of how using high-dimensional single-cell genetic, transcriptomic, and proteomic studies of tissue and peripheral blood can lead to identification of therapeutic targets.

Maria Elena Bottazzi - Read Bio

Academic Creativity, Strategic Alliances and Diplomacy to Catalyze the Vaccine Sciences in Tropical Medicine
For the last two decades, the National School of Tropical Medicine and its Center for Vaccine Development in Houston, Texas has operated with the mission to develop and test new low-cost safe and effective vaccines and build sustainable and innovative plans to fight the neglected and emerging diseases through international diplomacy, solidarity, and cooperation.

Biomedical research is crucial for global development and requires robust local capacity, sustained investment and kept up infrastructure to prevent and respond to many public health issues. My experience as a LatinX woman in science will be presented, providing a potential roadmap that relies on transformational and adaptive leadership to help catalyze the decolonization of the vaccine sciences, enhancing global scientific partnerships and create biotechnology capacity for self-sufficiency in the advancement of global health technologies leading to the control or elimination of the diseases of poverty.