<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Keung C</submitter><funding>The Gutsy Group Foundation</funding><pagination>2849</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8911059</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(5)</volume><pubmed_abstract>The diagnosis and management of inflammatory bowel disease relies on histological assessment, which is costly, subjective, and lacks utility for point-of-care diagnosis. Fourier-transform infra-red spectroscopy provides rapid, non-destructive, reproducible, and automatable label-free biochemical imaging of tissue for diagnostic purposes. This study characterises colitis using spectroscopy, discriminates colitis from healthy tissue, and classifies inflammation severity. Hyperspectral images were obtained from fixed intestinal sections of a murine colitis model treated with cell therapy to improve inflammation. Multivariate analyses and classification modelling were performed using supervised and unsupervised machine-learning algorithms. Quantitative analysis of severe colitis showed increas</pubmed_abstract><journal>International journal of molecular sciences</journal><pubmed_title>Fourier-Transform Infra-Red Microspectroscopy Can Accurately Diagnose Colitis and Assess Severity of Inflammation.</pubmed_title><pmcid>PMC8911059</pmcid><funding_grant_id>Research Grant, 2018-2021</funding_grant_id><pubmed_authors>Lim R</pubmed_authors><pubmed_authors>Keung C</pubmed_authors><pubmed_authors>Sievert W</pubmed_authors><pubmed_authors>Kuk N</pubmed_authors><pubmed_authors>Wood B</pubmed_authors><pubmed_authors>Heraud P</pubmed_authors><pubmed_authors>Moore G</pubmed_authors></additional><is_claimable>false</is_claimable><name>Fourier-Transform Infra-Red Microspectroscopy Can Accurately Diagnose Colitis and Assess Severity of Inflammation.</name><description>The diagnosis and management of inflammatory bowel disease relies on histological assessment, which is costly, subjective, and lacks utility for point-of-care diagnosis. Fourier-transform infra-red spectroscopy provides rapid, non-destructive, reproducible, and automatable label-free biochemical imaging of tissue for diagnostic purposes. This study characterises colitis using spectroscopy, discriminates colitis from healthy tissue, and classifies inflammation severity. Hyperspectral images were obtained from fixed intestinal sections of a murine colitis model treated with cell therapy to improve inflammation. Multivariate analyses and classification modelling were performed using supervised and unsupervised machine-learning algorithms. Quantitative analysis of severe colitis showed increas</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2025-04-22T12:57:18.032Z</modification><creation>2025-04-06T00:24:20.319Z</creation></dates><accession>S-EPMC8911059</accession><cross_references><pubmed>35269993</pubmed><doi>10.3390/ijms23052849</doi></cross_references></HashMap>