SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis

arXiv:2309.04190v4 Announce Type: replace-cross
Abstract: Organoids are self-organized 3D cell clusters that closely mimic the architecture and function of in vivo tissues and organs. Quantification of organoid morphology helps in studying organ development, drug discovery, and toxicity assessment. Recent microscopy techniques provide a potent tool to acquire organoid morphology features, but manual image analysis remains a labor and time-intensive process. Thus, this paper proposes a comprehensive pipeline for microscopy analysis that leverages the SegmentAnything to precisely demarcate individual organoids. Additionally, …

abstract analysis and analysis architecture arxiv assessment cs.cv detection development discovery drug discovery eess.iv function images microscopy organoid q-bio.qm quantification quantitative studying tool toxicity type