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

The dataset consists of calcium imaging data utilized for developing and validating CaliAli, a specialized suite for extracting neural signals from one-photon calcium imaging sessions under free-moving conditions across multiple sessions.

Key components of this dataset include:

Simulation codes used to generate synthetic data for this study.

Source data corresponding to each figure presented in the study.

The raw calcium imaging dataset employed in the research.

Methods
Calcium imaging data was obtained with a miniaturized microscope with flexible light source input (T-scope V4, Physiotech Inc,  Japan). Data was processed following the steps described in the CaliAli online documentation: https://caliali-pv.github.io/CaliAli/