Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes 事件

Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes arXiv:2605.29220v1 Announce Type: new Abstract: 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. We developed RIPPLE (Refinement Inter