{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ren C"],"funding":["NIBIB NIH HHS","NHLBI NIH HHS","U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute","U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering"],"pagination":["278"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10918170"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["7(1)"],"pubmed_abstract":["Dynamic contrast optical coherence tomography (DyC-OCT), an emerging imaging method, utilizes fluctuation patterns in OCT signals to enhance contrast, thereby enabling non-invasive label-free volumetric live cell imaging. In this mini review, we explain the core concepts behind DyC-OCT image formation and its system configurations, serving as practical guidance for future DyC-OCT users. Subsequently, we explore its applications in delivering high-quality, contrast-enhanced images of cellular morphology, as well as in monitoring changes in cellular activity/viability assay experiments."],"journal":["Communications biology"],"pubmed_title":["Dynamic contrast optical coherence tomography (DyC-OCT) for label-free live cell imaging."],"pmcid":["PMC10918170"],"funding_grant_id":["R01 EB025209","R01 HL156265","R21 EB032684","R01EB025209","R01HL156265","R21EB03268401"],"pubmed_authors":["Amaral MM","Zhou C","Matt A","Wang F","Yang D","Ren C","Hao S","Wang L"],"additional_accession":[]},"is_claimable":false,"name":"Dynamic contrast optical coherence tomography (DyC-OCT) for label-free live cell imaging.","description":"Dynamic contrast optical coherence tomography (DyC-OCT), an emerging imaging method, utilizes fluctuation patterns in OCT signals to enhance contrast, thereby enabling non-invasive label-free volumetric live cell imaging. In this mini review, we explain the core concepts behind DyC-OCT image formation and its system configurations, serving as practical guidance for future DyC-OCT users. Subsequently, we explore its applications in delivering high-quality, contrast-enhanced images of cellular morphology, as well as in monitoring changes in cellular activity/viability assay experiments.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Mar","modification":"2026-06-12T10:10:03.908Z","creation":"2025-04-04T12:34:51.04Z"},"accession":"S-EPMC10918170","cross_references":{"pubmed":["38448627"],"doi":["10.1038/s42003-024-05973-5"]}}