Combinatorial responsiveness of chemosensory neurons in mouse explants revealed by DynamicNeuroTracker.

ABSTRACT: Calcium fluorescence imaging enables us to investigate how individual neurons of live animals encode sensory input or drive specific behaviors. Extracting and interpreting large-scale neuronal activity from imaging data are crucial steps in harnessing this information. A significant challenge arises from uncorrectable tissue deformation, which disrupts the effectiveness of existing neuron segmentation methods. Here, we propose an open-source software, DynamicNeuronTracker (DyNT), which generates dynamic neuron masks for deforming and/or incompletely registered 3D calcium imaging data using patch-matching iterations. We demonstrate that DyNT accurately tracks densely populated neurons under positional jitters. DyNT also includes automated statistical analyses for interpreting neuronal respo

SUBMITTER: Noh J 

PROVIDER: S-EPMC12664895 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature