Unknown

Dataset Information

Tracking calcium dynamics from individual neurons in behaving animals.


ABSTRACT: Measuring the activity of neuronal populations with calcium imaging can capture emergent functional properties of neuronal circuits with single cell resolution. However, the motion of freely behaving animals, together with the intermittent detectability of calcium sensors, can hinder automatic monitoring of neuronal activity and their subsequent functional characterization. We report the development and open-source implementation of a multi-step cellular tracking algorithm (Elastic Motion Correction and Concatenation or EMC2) that compensates for the intermittent disappearance of moving neurons by integrating local deformation information from detectable neurons. We demonstrate the accuracy and versatility of our algorithm using calcium imaging data from two-photon volumetric microscopy in

SUBMITTER: Lagache T 

PROVIDER: S-EPMC8528277 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature