<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>23(1)</volume><submitter>Tippani M</submitter><pubmed_abstract>&lt;h4>Background&lt;/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.&lt;h4>Results&lt;/h4>To address this need we developed CaPTure, a scalable, automated Ca&lt;sup>2+&lt;/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</pubmed_abstract><journal>BMC neuroscience</journal><pagination>71</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9710137</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>CaPTure: Calcium PeakToolbox for analysis of in vitro calcium imaging data.</pubmed_title><pmcid>PMC9710137</pmcid><pubmed_authors>Pattie EA</pubmed_authors><pubmed_authors>Martinowich K</pubmed_authors><pubmed_authors>Page SC</pubmed_authors><pubmed_authors>Nguyen CV</pubmed_authors><pubmed_authors>Maher BJ</pubmed_authors><pubmed_authors>Tippani M</pubmed_authors><pubmed_authors>Davis BA</pubmed_authors><pubmed_authors>Sripathy SR</pubmed_authors><pubmed_authors>Jaffe AE</pubmed_authors><pubmed_authors>Wang Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>CaPTure: Calcium PeakToolbox for analysis of in vitro calcium imaging data.</name><description>&lt;h4>Background&lt;/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.&lt;h4>Results&lt;/h4>To address this need we developed CaPTure, a scalable, automated Ca&lt;sup>2+&lt;/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</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Nov</publication><modification>2025-04-18T19:19:47.947Z</modification><creation>2025-04-07T07:00:33.342Z</creation></dates><accession>S-EPMC9710137</accession><cross_references><pubmed>36451089</pubmed><doi>10.1186/s12868-022-00751-7</doi></cross_references></HashMap>