{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Bonato J"],"funding":["European Research Council","NINDS NIH HHS"],"pubmed_abstract":["Changes in the intracellular calcium concentration are a fundamental fingerprint of astrocytes, the main type of glial cell. Astrocyte calcium signals can be measured with two-photon microscopy, occur in anatomically restricted subcellular regions, and are coordinated across astrocytic networks. However, current analytical tools to identify the astrocytic subcellular regions where calcium signals occur are time-consuming and extensively rely on user-defined parameters. These limitations limit reproducibility and prevent scalability to large datasets and fields-of-view. Here, we present Astrocytic calcium Spatio-Temporal Rapid Analysis (ASTRA), a novel software combining deep learning with image feature engineering for fast and fully automated semantic segmentation of two-photon calcium ima"],"journal":["bioRxiv : the preprint server for biology"],"pagination":["2023.05.03.539211"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10187152"],"repository":["biostudies-literature"],"pubmed_title":["ASTRA: a deep learning algorithm for fast semantic segmentation of large-scale astrocytic networks."],"pmcid":["PMC10187152"],"funding_grant_id":["U19 NS107464","647725","R01 NS108410","R01 NS109961"],"pubmed_authors":["Curreli S","Panzeri S","Bonato J","Romanzi S","Fellin T"],"additional_accession":[]},"is_claimable":false,"name":"ASTRA: a deep learning algorithm for fast semantic segmentation of large-scale astrocytic networks.","description":"Changes in the intracellular calcium concentration are a fundamental fingerprint of astrocytes, the main type of glial cell. Astrocyte calcium signals can be measured with two-photon microscopy, occur in anatomically restricted subcellular regions, and are coordinated across astrocytic networks. However, current analytical tools to identify the astrocytic subcellular regions where calcium signals occur are time-consuming and extensively rely on user-defined parameters. These limitations limit reproducibility and prevent scalability to large datasets and fields-of-view. Here, we present Astrocytic calcium Spatio-Temporal Rapid Analysis (ASTRA), a novel software combining deep learning with image feature engineering for fast and fully automated semantic segmentation of two-photon calcium ima","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 May","modification":"2025-07-11T03:03:41.214Z","creation":"2025-07-11T03:03:41.214Z"},"accession":"S-EPMC10187152","cross_references":{"pubmed":["37205519"],"doi":["10.1101/2023.05.03.539211"]}}