{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Ivanov IE"],"funding":["NIGMS NIH HHS"],"pubmed_abstract":["High-throughput dynamic imaging of cells and organelles is essential for understanding complex cellular responses. We report Mantis, a high-throughput 4D microscope that integrates two complementary, gentle, live-cell imaging technologies: remote-refocus label-free microscopy and oblique light-sheet fluorescence microscopy. Additionally, we report shrimPy, an open-source software for high-throughput imaging, deconvolution, and single-cell phenotyping of 4D data. Using Mantis and shrimPy, we achieved high-content correlative imaging of molecular dynamics and the physical architecture of 20 cell lines every 15 minutes over 7.5 hours. This platform also facilitated detailed measurements of the impacts of viral infection on the architecture of host cells and host proteins. The Mantis platform "],"journal":["bioRxiv : the preprint server for biology"],"pagination":["2023.12.19.572435"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10769231"],"repository":["biostudies-literature"],"pubmed_title":["Mantis: high-throughput 4D imaging and analysis of the molecular and physical architecture of cells."],"pmcid":["PMC10769231"],"funding_grant_id":["R01 GM131641"],"pubmed_authors":["Mehta SB","Ivanov IE","Chandler T","Khadka S","Hirata-Miyasaki E","Liu Z","Pradeep S","Bhave M","Cheloor-Kovilakam R","Liu C","Leonetti MD","Huang B","Arias C"],"additional_accession":[]},"is_claimable":false,"name":"Mantis: high-throughput 4D imaging and analysis of the molecular and physical architecture of cells.","description":"High-throughput dynamic imaging of cells and organelles is essential for understanding complex cellular responses. We report Mantis, a high-throughput 4D microscope that integrates two complementary, gentle, live-cell imaging technologies: remote-refocus label-free microscopy and oblique light-sheet fluorescence microscopy. Additionally, we report shrimPy, an open-source software for high-throughput imaging, deconvolution, and single-cell phenotyping of 4D data. Using Mantis and shrimPy, we achieved high-content correlative imaging of molecular dynamics and the physical architecture of 20 cell lines every 15 minutes over 7.5 hours. This platform also facilitated detailed measurements of the impacts of viral infection on the architecture of host cells and host proteins. The Mantis platform ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jun","modification":"2026-06-27T03:24:36.229Z","creation":"2025-04-04T19:21:58.396Z"},"accession":"S-EPMC10769231","cross_references":{"pubmed":["38187521"],"doi":["10.1101/2023.12.19.572435"]}}