AI RESEARCH
Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes
arXiv CS.CV
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ArXi:2605.29220v1 Announce Type: new Tracking the dynamics of non-canonical biological systems in microscopy videos remains a persistent challenge. Both classical and learning-based trackers depend on expert-reviewed data to be evaluated and adapted, yet exhaustive manual annotation rarely scales to the videos where these tools are needed most.