<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Regan K</submitter><funding>NSF</funding><funding>Boston University</funding><funding>NIBIB NIH HHS</funding><funding>Office of the Director</funding><funding>NHLBI NIH HHS</funding><funding>Centralized Otolaryngology Research Efforts</funding><funding>National Institutes of Health</funding><funding>Arnold and Mabel Beckman Foundation</funding><funding>NIH HHS</funding><funding>National Science Foundation</funding><pagination>250-266</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10922809</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>176</volume><pubmed_abstract>The mechanical properties of biological tissues have emerged as an integral determinant of tissue function in health and disease. Nonetheless, characterizing the elasticity of biological samples in 3D and at high resolution remains challenging. Here, we present a µElastography platform: a scalable elastography system that maps the elastic properties of tissues from cellular to organ scales. The platform leverages the use of a biocompatible, thermo-responsive hydrogel to deliver compressive stress to a biological sample and track its resulting deformation. By surrounding the specimen with a reference hydrogel of known Young's modulus, we are able to map the absolute values of elastic properties in biological samples. We validate the experimental and computational components of the platform </pubmed_abstract><journal>Acta biomaterialia</journal><pubmed_title>Multiscale elasticity mapping of biological samples in 3D at optical resolution.</pubmed_title><pmcid>PMC10922809</pmcid><funding_grant_id>DP2 HL168562</funding_grant_id><funding_grant_id>S10OD024993</funding_grant_id><funding_grant_id>DP2HL168562</funding_grant_id><funding_grant_id>T32 EB006359</funding_grant_id><funding_grant_id>R21 EB031332</funding_grant_id><funding_grant_id>S10 OD024993</funding_grant_id><funding_grant_id>R21EB031332</funding_grant_id><pubmed_authors>LeBourdais R</pubmed_authors><pubmed_authors>Banerji R</pubmed_authors><pubmed_authors>Zheng S</pubmed_authors><pubmed_authors>Nia HT</pubmed_authors><pubmed_authors>Muhvich J</pubmed_authors><pubmed_authors>Zhang S</pubmed_authors><pubmed_authors>Regan K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Multiscale elasticity mapping of biological samples in 3D at optical resolution.</name><description>The mechanical properties of biological tissues have emerged as an integral determinant of tissue function in health and disease. Nonetheless, characterizing the elasticity of biological samples in 3D and at high resolution remains challenging. Here, we present a µElastography platform: a scalable elastography system that maps the elastic properties of tissues from cellular to organ scales. The platform leverages the use of a biocompatible, thermo-responsive hydrogel to deliver compressive stress to a biological sample and track its resulting deformation. By surrounding the specimen with a reference hydrogel of known Young's modulus, we are able to map the absolute values of elastic properties in biological samples. We validate the experimental and computational components of the platform </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2025-04-04T01:14:02.132Z</modification><creation>2025-04-04T01:14:02.132Z</creation></dates><accession>S-EPMC10922809</accession><cross_references><pubmed>38160857</pubmed><doi>10.1016/j.actbio.2023.12.036</doi></cross_references></HashMap>