A comprehensive suite for extracting neuron signals across multiple sessions in one-photon calcium imaging.

ABSTRACT: We developed CaliAli, a comprehensive suite designed to extract neuronal signals from one-photon calcium imaging data collected across multiple sessions in free-moving conditions in mice. CaliAli incorporates information from blood vessels and neurons to correct inter-session misalignments, making it robust against non-rigid brain deformations even after substantial changes in the field of view across sessions. This also makes CaliAli robust against high neuron overlap and changes in active neuron population across sessions. CaliAli performs computationally efficient signal extraction from concatenated video sessions that enhances the detectability of weak calcium signals. Notably, CaliAli enhanced the spatial coding accuracy of extracted hippocampal CA1 neuron activity across sessions. An

SUBMITTER: Vergara P 

PROVIDER: S-EPMC11992088 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature