AI RESEARCH
SAM for Robust Mitochondria Instance Segmentation in Fluorescence Microscopy
arXiv CS.AI
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ArXi:2605.31284v1 Announce Type: cross The morphological analysis of mitochondria in fluorescence microscopy (FM) is crucial for understanding cellular health, energy production, and metabolic regulation. While foundation models like the Segment Anything Model (SAM) have revolutionized natural image segmentation, their direct application to FM is hindered by a significant domain shift characterized by diffraction-limited resolution, low contrast, and complex overlapping organelle networks.