{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["23(1)"],"submitter":["Tippani M"],"pubmed_abstract":["<h4>Background</h4>Calcium imaging is a powerful technique for recording cellular activity across large populations of neurons. However, analysis methods capable of single-cell resolution in cultured neurons, especially for cultures derived from human induced pluripotent stem cells (hiPSCs), are lacking. Existing methods lack scalability to accommodate high-throughput comparisons between multiple lines, across developmental timepoints, or across pharmacological manipulations.<h4>Results</h4>To address this need we developed CaPTure, a scalable, automated Ca<sup>2+</sup> imaging analysis pipeline ( https://github.com/LieberInstitute/CaPTure ). CaPTuredetects neurons, classifies and quantifies spontaneous activity, quantifies synchrony metrics, and generates cell- and network-specific metric"],"journal":["BMC neuroscience"],"pagination":["71"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9710137"],"repository":["biostudies-literature"],"pubmed_title":["CaPTure: Calcium PeakToolbox for analysis of in vitro calcium imaging data."],"pmcid":["PMC9710137"],"pubmed_authors":["Pattie EA","Martinowich K","Page SC","Nguyen CV","Maher BJ","Tippani M","Davis BA","Sripathy SR","Jaffe AE","Wang Y"],"additional_accession":[]},"is_claimable":false,"name":"CaPTure: Calcium PeakToolbox for analysis of in vitro calcium imaging data.","description":"<h4>Background</h4>Calcium imaging is a powerful technique for recording cellular activity across large populations of neurons. However, analysis methods capable of single-cell resolution in cultured neurons, especially for cultures derived from human induced pluripotent stem cells (hiPSCs), are lacking. Existing methods lack scalability to accommodate high-throughput comparisons between multiple lines, across developmental timepoints, or across pharmacological manipulations.<h4>Results</h4>To address this need we developed CaPTure, a scalable, automated Ca<sup>2+</sup> imaging analysis pipeline ( https://github.com/LieberInstitute/CaPTure ). CaPTuredetects neurons, classifies and quantifies spontaneous activity, quantifies synchrony metrics, and generates cell- and network-specific metric","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Nov","modification":"2025-04-18T19:19:47.947Z","creation":"2025-04-07T07:00:33.342Z"},"accession":"S-EPMC9710137","cross_references":{"pubmed":["36451089"],"doi":["10.1186/s12868-022-00751-7"]}}