{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Chen Z"],"funding":["NIMH NIH HHS","NINDS NIH HHS","NSF NeuroNex"],"pagination":["e78344"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9908073"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12"],"pubmed_abstract":["Epifluorescence miniature microscopes ('miniscopes') are widely used for in vivo calcium imaging of neural population activity. Imaging data are typically collected during a behavioral task and stored for later offline analysis, but emerging techniques for online imaging can support novel closed-loop experiments in which neural population activity is decoded in real time to trigger neurostimulation or sensory feedback. To achieve short feedback latencies, online imaging systems must be optimally designed to maximize computational speed and efficiency while minimizing errors in population decoding. Here we introduce <i>DeCalciOn</i>, an open-source device for real-time imaging and population decoding of in vivo calcium signals that is hardware compatible with all miniscopes that use the UCL"],"journal":["eLife"],"pubmed_title":["A hardware system for real-time decoding of in vivo calcium imaging data."],"pmcid":["PMC9908073"],"funding_grant_id":["1707408","UF1 NS107668","R21 MH122800"],"pubmed_authors":["Blair GJ","Romero-Sosa JL","Chen Z","Aharoni D","Guo C","Golshani P","Cong J","Blair HT","Zhou J","Izquierdo A"],"additional_accession":[]},"is_claimable":false,"name":"A hardware system for real-time decoding of in vivo calcium imaging data.","description":"Epifluorescence miniature microscopes ('miniscopes') are widely used for in vivo calcium imaging of neural population activity. Imaging data are typically collected during a behavioral task and stored for later offline analysis, but emerging techniques for online imaging can support novel closed-loop experiments in which neural population activity is decoded in real time to trigger neurostimulation or sensory feedback. To achieve short feedback latencies, online imaging systems must be optimally designed to maximize computational speed and efficiency while minimizing errors in population decoding. Here we introduce <i>DeCalciOn</i>, an open-source device for real-time imaging and population decoding of in vivo calcium signals that is hardware compatible with all miniscopes that use the UCL","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2026-03-15T12:49:37.672Z","creation":"2025-04-04T23:52:12.797Z"},"accession":"S-EPMC9908073","cross_references":{"pubmed":["36692269"],"doi":["10.7554/eLife.78344"]}}