Online analysis of microendoscopic 1-photon calcium imaging data streams.

ABSTRACT: In vivo calcium imaging through microendoscopic lenses enables imaging of neuronal populations deep within the brains of freely moving animals. Previously, a constrained matrix factorization approach (CNMF-E) has been suggested to extract single-neuronal activity from microendoscopic data. However, this approach relies on offline batch processing of the entire video data and is demanding both in terms of computing and memory requirements. These drawbacks prevent its applicability to the analysis of large datasets and closed-loop experimental settings. Here we address both issues by introducing two different online algorithms for extracting neuronal activity from streaming microendoscopic data. Our first algorithm, OnACID-E, presents an online adaptation of the CNMF-E algorithm, which drama

SUBMITTER: Friedrich J 

PROVIDER: S-EPMC7842953 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature