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Meeting banner for the 2024 Contextualizing Cellular Physiology Workshop

Contextualizing Cellular Physiology Workshop

- Location Contacts


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Event Details Agenda

Event Details


This hybrid workshop seeks to provide a forum for in-depth discussions on imaging, spatial mapping and analysis methods, examining strengths, limitations, and their applicability in the practical realm of identifying tissue function or dysfunction. The workshop is structured to promote the cross-pollination of ideas from computational and optical scientists, biologists, pathologists, disease domain experts, and machine learning experts, focusing on developing practical knowledge for the community.

Meeting Objectives

  1. Perspectives on Advanced Techniques for Identifying Cells from Image Data
  2. Examine Approaches to Segmentation 
  3. Discuss Classification of Cells Across Health States
  4. Omics Data Integration
  5. Promote Cross-Disciplinary Collaboration
  6. Showcase Cutting-Edge Machine Learning Applications
  7. Identify Future Research Directions

By addressing these objectives, the workshop aims to advance knowledge, foster collaboration, and promote the innovative use of technology in the study of healthy and disease conditions.


Biological research is experiencing exponential growth, amassing vast quantities of data from pathological images, various molecular datasets, and advanced imaging techniques. The complexity of this data presents significant challenges for researchers endeavoring to integrate these high-dimensional data sets and identify key biological mechanisms.  This workshop will address challenges in the field associated with integration of imaging data and various molecular approaches.  Specifically, this workshop will tackle the obstacles associated with cell identification from imaging data, the identification of biological processes informed by omics data alongside imaging-derived features, and how to leverage AI/ML for enhanced imaging and data analytics.   This workshop will discuss the prevalent challenges faced in the analysis and integration of imaging data, discuss relevant standards and benchmarks, and showcase strategies beneficial to the scientific community.

Organizing Committee

External Members

Rohit Bhargava, Ph.D., University of Illinois
Beth Cimini, Ph.D., Massachusetts Institute of Technology/Broad Institute
Michael Eadon, M.D., Indiana University–Purdue University Indianapolis
Agnes Fogo, M.D., Vanderbilt University
Elizabeth Hillman, Ph.D., Columbia University
Richard Levenson, M.D., University of California, Davis
Mingyao Li, Ph.D., University of Pennsylvania

Internal Members

Robert Star, M.D., National Institute of Diabetes and Digestive and Kidney Diseases, (NIDDK), National Institutes of Health (NIH)
Eric Brunskill, Ph.D., NIDDK, NIH
Richard Conroy, Ph.D., M.B.A., Office of the Director (OD), NIH
Stephen Hewitt, M.D., Ph.D., National Cancer Institute (NCI), NIH
Stephen Lockett, Ph.D., NCI, NIH
Ajay Pillay, Ph.D., National Human Genome Research Institute, NIH
Belinda Seto, Ph.D., OD, NIH

Registration Deadline

June 4, 2024

Event Logistics


Registration Closed
Registration ended


Bethesda Marriott
5151 Pooks Hill Road
Bethesda, MD 20814
T: +1-301-897-9400


This is a hybrid workshop. Virtual participation is available. For those attending via webinar, the link will be distributed via email prior to the date of the event.


Program Contact
Eric Brunskill, Ph.D.
Email: eric.brunskill@nih.gov
T: 301-215-1698

Meeting Logistics
Mark Dennis
The Scientific Consulting Group, Inc.
Email: mdennis@scgcorp.com
T: 301-670-4990

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