CellTrack-Bench compares vision-language models with specialized cell trackers
The benchmark uses 15 datasets, four imaging modalities, and 1,537 problems covering 9,041 cell-linking decisions.
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The benchmark uses 15 datasets, four imaging modalities, and 1,537 problems covering 9,041 cell-linking decisions.
BIABench tests AI agents on 16 published bioimage tasks, where 3D and time-lapse work stays unsolved.
Quantization study shows W8A16 and mixed W4/W8 preserve Cellpose-SAM segmentation on stem-cell microscopy, while ternary quantization fails on 169 of 176 fields.
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