<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Li H</submitter><funding>National Science Foundation (NSF)</funding><funding>NIGMS NIH HHS</funding><funding>National Institute of General Medical Sciences (NIGMS)</funding><pagination>29-49</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6363205</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>10(1)</volume><pubmed_abstract>Visualizing diverse anatomical and functional traits that span many spatial scales with high spatio-temporal resolution provides insights into the fundamentals of living organisms. Light-field microscopy (LFM) has recently emerged as a scanning-free, scalable method that allows for high-speed, volumetric functional brain imaging. Given those promising applications at the tissue level, at its other extreme, this highly-scalable approach holds great potential for observing structures and dynamics in single-cell specimens. However, the challenge remains for current LFM to achieve a subcellular level, near-diffraction-limited 3D spatial resolution. Here, we report high-resolution LFM (HR-LFM) for live-cell imaging with a resolution of 300-700 nm in all three dimensions, an imaging depth of several micrometers, and a volume acquisition time of milliseconds. We demonstrate the technique by imaging various cellular dynamics and structures and tracking single particles. The method may advance LFM as a particularly useful tool for understanding biological systems at multiple spatio-temporal levels.</pubmed_abstract><journal>Biomedical optics express</journal><pubmed_title>Fast, volumetric live-cell imaging using high-resolution light-field microscopy.</pubmed_title><pmcid>PMC6363205</pmcid><funding_grant_id>R01GM084251</funding_grant_id><funding_grant_id>R35 GM124898</funding_grant_id><funding_grant_id>R35GM124846</funding_grant_id><funding_grant_id>R01 GM084251</funding_grant_id><funding_grant_id>R35 GM124846</funding_grant_id><funding_grant_id>EFMA1830941</funding_grant_id><funding_grant_id>CBET1604565</funding_grant_id><pubmed_authors>Li W</pubmed_authors><pubmed_authors>Takamaru KI</pubmed_authors><pubmed_authors>Li H</pubmed_authors><pubmed_authors>Altshuller Y</pubmed_authors><pubmed_authors>Jia S</pubmed_authors><pubmed_authors>French JB</pubmed_authors><pubmed_authors>Guo C</pubmed_authors><pubmed_authors>Kim-Holzapfel D</pubmed_authors><pubmed_authors>Meng Y</pubmed_authors><pubmed_authors>Frohman MA</pubmed_authors><pubmed_authors>Schroeder B</pubmed_authors><pubmed_authors>Liu W</pubmed_authors></additional><is_claimable>false</is_claimable><name>Fast, volumetric live-cell imaging using high-resolution light-field microscopy.</name><description>Visualizing diverse anatomical and functional traits that span many spatial scales with high spatio-temporal resolution provides insights into the fundamentals of living organisms. Light-field microscopy (LFM) has recently emerged as a scanning-free, scalable method that allows for high-speed, volumetric functional brain imaging. Given those promising applications at the tissue level, at its other extreme, this highly-scalable approach holds great potential for observing structures and dynamics in single-cell specimens. However, the challenge remains for current LFM to achieve a subcellular level, near-diffraction-limited 3D spatial resolution. Here, we report high-resolution LFM (HR-LFM) for live-cell imaging with a resolution of 300-700 nm in all three dimensions, an imaging depth of several micrometers, and a volume acquisition time of milliseconds. We demonstrate the technique by imaging various cellular dynamics and structures and tracking single particles. The method may advance LFM as a particularly useful tool for understanding biological systems at multiple spatio-temporal levels.</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Jan</publication><modification>2026-07-11T03:18:15.31Z</modification><creation>2026-07-11T03:09:47.043Z</creation></dates><accession>S-EPMC6363205</accession><cross_references><pubmed>30775081</pubmed><doi>10.1364/BOE.10.000029</doi><doi>10.1364/boe.10.000029</doi></cross_references></HashMap>