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CMIL Team leads HuBMAP Hackathon in Boston on Cellular Disease Mapping

The Computational Microscopy Imaging Lab (CMIL), led by Nicholas, Sumanth, and Suhas, organized a HuBMAP hackathon in Boston. The event focused on developing interactive Jupyter notebooks to compare healthy single-cell reference data with diseased tissue data from consortia such as CFDE and KPMP. These tools, now openly available on HuBMAP Portal Workspaces, follow FAIR principles and promote collaborative biomedical research.

CMIL presents at SPIE Medical Imaging 2025

At SPIE Medical Imaging 2025, the CMIL team gave 6 presentations and had 1 poster recognized with an award. The group, including Dr. Afsari, Dr. Mimar, Akshita, Jamie, Hari, Suhas, and Ishaq, shared ongoing work in computational pathology, machine learning, and histological image analysis.

Dr. Sarder chairs sessions at SPIE Medical Imaging 2025

Dr. Sarder led two sessions at SPIE Medical Imaging 2025, where researchers presented methods for segmenting cellular and tissue structures, as well as techniques for analyzing multistain and multispectral images. The sessions highlighted the role of AI and computational approaches in pathology.

Dr. Sarder showcases AI-Powered Image Analysis for HuBMAP at PMWC 2025

Dr. Pinaki Sarder took center stage at PMWC 2025, delivering an insightful talk on "Advanced Image Analysis and Data Integration in the Human Biomolecular Atlas Program (HuBMAP)." His presentation focused on the transformative computational methods that are advancing the development of a comprehensive, open atlas of the human body at the cellular level.