arXiv Computer Vision By Ilan Theodoro, Jord\~ao Bragantini, Lo\"ic A. Royer

CellTrack-Bench: Microscopic Cell Tracking Benchmark for Vision-Language Models

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CellTrack-Bench is a new benchmark designed to evaluate Vision‑Language Models (VLMs) on microscopic cell tracking tasks. It compiles 1,537 problems from 15 standard cell‑tracking datasets across four imaging modalities, totaling 9,041 cell‑linking decisions, and includes a hard subset that highlights shared failures among specialized trackers. The benchmark was used to assess 9 closed‑source and 13 open‑weight VLMs, compare them to specialized trackers, and analyze their failure modes, with all code and data available on GitHub.

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