366-CellSAM: A Foundation Model for Cell Segmentation

Paper Talk · Jan 7, 2026 · 16m

The paper introduces CellSAM, a universal foundation model designed to automate cell segmentation across diverse biological imaging data. While previous deep learning models were often limited to specific domains, this new framework generalizes across different cell morphologies and imaging modalities, including fluorescence and brightfield microscopy. The system integrates a specialized object detector called CellFinder, which automatically identifies cells and provides bounding box prompts to the Segment Anything Model (SAM). This innovative approach achieves human-level accuracy and…