CoReg, tracking-based motion compensation for in vivo calcium imaging

CoReg, a tracking-based registration tool for in vivo calcium imaging, performs competitively with or better than established methods across multiple species’ fluorescence datasets.

• Why it matters: Motion artifacts from movement, drift, or setup instability hinder signal extraction and reduce consistency, and existing registration often underuses temporal information and struggles when activity alters image appearance.
• What they did: The authors model motion correction as point tracking and release CoReg (open-source Python with a GUI), benchmarking it against established registration methods on fluorescence imaging datasets from multiple species.
• The result: CoReg’s performance is robust to the choice of tracked points and provides a simple, reliable approach for motion correction in vivo calcium imaging.

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