BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ChamberMaster//Event Calendar 2.0//EN METHOD:PUBLISH X-PUBLISHED-TTL:P1H REFRESH-INTERVAL:P1H CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU DTSTART:20070101T000000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:Eastern Daylight Time END:DAYLIGHT BEGIN:STANDARD RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU DTSTART:20070101T000000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:Eastern Standard Time END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20261208T150000 DTEND;TZID=America/New_York:20261208T160000 X-MICROSOFT-CDO-ALLDAYEVENT:FALSE SUMMARY:CYTO U Webinar: Beyond Suspension: Integrating Spatial and Single-Cell Proteomics for Systems-Level Insights into Health & Disease | Abhishek Koladiya DESCRIPTION:Learn More & Register: ISAC Learning: Beyond Suspension: Integrating Spatial and Single-Cell Proteomics for Systems-Level Insights into Health & Disease\n\nTHE SPEAKER\nAbhishek Koladiya is a postdoctoral fellow at Stanford University. He completed his PhD in Cell and Developmental Biology at Charles University in Prague. His research focuses on developing computational and multi-omics approaches for single-cell and spatial biology\, with applications in cancer\, immunology\, hematology\, and precision medicine. He has contributed to several open-source computational tools\, including EmbedSOM and tidyTOF\, and more recently developed CellFuse\, a deep-learning framework for integrating single-cell suspension and spatial proteomics data. He is a member of ISAC's Leadership Development Program Marylou Ingram Scholars track and has also received recognition from the American Society of Hematology and the Czech Society of Cytometry. \nWEBINAR SUMMARY\nSingle-cell and spatial proteomic technologies provide complementary views of cellular identity\, function\, and tissue organization\, but integrating these data across platforms remains a major computational challenge. Most existing integration approaches were developed for transcriptomic data and rely on large numbers of shared features\, making them less suitable for lower-dimensional antibody-based measurements. In this webinar\, I will discuss strategies for integrating suspension and spatial proteomics data and introduce CellFuse\, a deep learning based framework designed to connect high-dimensional cytometry\, CITE-seq\, and spatial proteomics datasets. CellFuse uses supervised contrastive learning to construct a shared representation across modalities\, enabling cross-platform cell-type prediction\, label transfer\, and identification of rare cellular populations. Using examples from peripheral blood\, bone marrow\, lymphoma\, and solid tumors\, I will highlight how multimodal integration can reveal disease-associated cell states\, reconstruct tissue microenvironments\, and uncover interactions between malignant\, immune\, and stromal populations. These approaches demonstrate how connecting cytometry modalities can provide systems-level insights into cellular organization across health and disease.\n\nLEARNING OUTCOMES\nBy the end of this webinar\, participants will be able to: 1) Describe the key challenges in integrating suspension-based and spatial proteomics datasets across cytometry platforms. 2) Explain how multimodal integration approaches such as CellFuse can create shared representations across high-dimensional cytometry\, CITE-seq\, and spatial proteomics data. 3) Recognize how integrated single-cell and spatial analyses can identify rare cell populations\, disease-associated cell states\, and tissue microenvironmental interactions. 4) Evaluate how multimodal cytometry can be applied to generate systems-level insights into health\, disease\, and treatment response.\n\nWHO SHOULD ATTEND:\nClinical Cytometrists\, Computational Biologists/Bioinformaticians\, Data Analysts\, Imaging Cytometrists\, Industry Scientists (vendor-agnostic\, tool developers\, method innovators)\, Research Scientists\, Shared Resource Laboratory (SRL) Managers\, Trainees (graduate students\, postdocs\, early-career researchers)\, Translational Immunologists X-ALT-DESC;FMTTYPE=text/html:

Learn More &\; Register: \;ISAC Learning: Beyond Suspension: Integrating Spatial and Single-Cell Proteomics for Systems-Level Insights into Health &\; Disease

THE SPEAKER
Abhishek Koladiya \;is a postdoctoral fellow at Stanford University. He completed his PhD in Cell and Developmental Biology at Charles University in Prague. His research focuses on developing computational and multi-omics approaches for single-cell and spatial biology\, with applications in cancer\, immunology\, hematology\, and precision medicine. He has contributed to several open-source computational tools\, including EmbedSOM and tidyTOF\, and more recently developed CellFuse\, a deep-learning framework for integrating single-cell suspension and spatial proteomics data. He is a member of ISAC'\;s Leadership Development Program Marylou Ingram Scholars track and has also received recognition from the American Society of Hematology and the Czech Society of Cytometry.


WEBINAR SUMMARY
Single-cell and spatial proteomic technologies provide complementary views of cellular identity\, function\, and tissue organization\, but integrating these data across platforms remains a major computational challenge. Most existing integration approaches were developed for transcriptomic data and rely on large numbers of shared features\, making them less suitable for lower-dimensional antibody-based measurements. In this webinar\, I will discuss strategies for integrating suspension and spatial proteomics data and introduce CellFuse\, a deep learning&ndash\;based framework designed to connect high-dimensional cytometry\, CITE-seq\, and spatial proteomics datasets. CellFuse uses supervised contrastive learning to construct a shared representation across modalities\, enabling cross-platform cell-type prediction\, label transfer\, and identification of rare cellular populations. Using examples from peripheral blood\, bone marrow\, lymphoma\, and solid tumors\, I will highlight how multimodal integration can reveal disease-associated cell states\, reconstruct tissue microenvironments\, and uncover interactions between malignant\, immune\, and stromal populations. These approaches demonstrate how connecting cytometry modalities can provide systems-level insights into cellular organization across health and disease.

LEARNING OUTCOMES
By the end of this webinar\, participants will be able to: 1) Describe the key challenges in integrating suspension-based and spatial proteomics datasets across cytometry platforms. 2) Explain how multimodal integration approaches such as CellFuse can create shared representations across high-dimensional cytometry\, CITE-seq\, and spatial proteomics data. 3) Recognize how integrated single-cell and spatial analyses can identify rare cell populations\, disease-associated cell states\, and tissue microenvironmental interactions. 4) Evaluate how multimodal cytometry can be applied to generate systems-level insights into health\, disease\, and treatment response.

WHO SHOULD ATTEND:
Clinical Cytometrists\, Computational Biologists/Bioinformaticians\, Data Analysts\, Imaging Cytometrists\, Industry Scientists (vendor-agnostic\, tool developers\, method innovators)\, Research Scientists\, Shared Resource Laboratory (SRL) Managers\, Trainees (graduate students\, postdocs\, early-career researchers)\, Translational Immunologists

LOCATION: UID:e.4653.1647884 SEQUENCE:3 DTSTAMP:20261004T105221Z URL:https://internationalsocietyforadvancementofcytometryisac.growthzoneapp.com/eventcalendar/Details/cyto-u-webinar-beyond-suspension-integrating-spatial-and-single-cell-proteomics-for-systems-level-insights-into-health-disease-abhishek-koladiya-1939132?sourceTypeId=Hub END:VEVENT END:VCALENDAR