<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Woolman M</submitter><funding>Natural Sciences and Engineering Research Council of Canada</funding><pagination>8723-8735</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8163395</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(33)</volume><pubmed_abstract>Integration between a hand-held mass spectrometry desorption probe based on picosecond infrared laser technology (PIRL-MS) and an optical surgical tracking system demonstrates &lt;i>in situ&lt;/i> tissue pathology from point-sampled mass spectrometry data. Spatially encoded pathology classifications are displayed at the site of laser sampling as color-coded pixels in an augmented reality video feed of the surgical field of view. This is enabled by two-way communication between surgical navigation and mass spectrometry data analysis platforms through a custom-built interface. Performance of the system was evaluated using murine models of human cancers sampled &lt;i>in situ&lt;/i> in the presence of body fluids with a technical pixel error of 1.0 ± 0.2 mm, suggesting a 84% or 92% (excluding one outlier)</pubmed_abstract><journal>Chemical science</journal><pubmed_title>&lt;i>In situ&lt;/i> tissue pathology from spatially encoded mass spectrometry classifiers visualized in real time through augmented reality.</pubmed_title><pmcid>PMC8163395</pmcid><funding_grant_id>RGPIN-2018-04611</funding_grant_id><pubmed_authors>Katz L</pubmed_authors><pubmed_authors>Qiu J</pubmed_authors><pubmed_authors>Chan H</pubmed_authors><pubmed_authors>Woolman M</pubmed_authors><pubmed_authors>Wu M</pubmed_authors><pubmed_authors>Fricke I</pubmed_authors><pubmed_authors>Wouters BG</pubmed_authors><pubmed_authors>Dara D</pubmed_authors><pubmed_authors>Daud F</pubmed_authors><pubmed_authors>Ventura M</pubmed_authors><pubmed_authors>Das S</pubmed_authors><pubmed_authors>Ferry I</pubmed_authors><pubmed_authors>Weersink R</pubmed_authors><pubmed_authors>Kuzan-Fischer CM</pubmed_authors><pubmed_authors>Ginsberg HJ</pubmed_authors><pubmed_authors>Bernards N</pubmed_authors><pubmed_authors>Irish J</pubmed_authors><pubmed_authors>Zaidi M</pubmed_authors><pubmed_authors>Jaffray DA</pubmed_authors><pubmed_authors>Zarrine-Afsar A</pubmed_authors><pubmed_authors>Rutka JT</pubmed_authors></additional><is_claimable>false</is_claimable><name>&lt;i>In situ&lt;/i> tissue pathology from spatially encoded mass spectrometry classifiers visualized in real time through augmented reality.</name><description>Integration between a hand-held mass spectrometry desorption probe based on picosecond infrared laser technology (PIRL-MS) and an optical surgical tracking system demonstrates &lt;i>in situ&lt;/i> tissue pathology from point-sampled mass spectrometry data. Spatially encoded pathology classifications are displayed at the site of laser sampling as color-coded pixels in an augmented reality video feed of the surgical field of view. This is enabled by two-way communication between surgical navigation and mass spectrometry data analysis platforms through a custom-built interface. Performance of the system was evaluated using murine models of human cancers sampled &lt;i>in situ&lt;/i> in the presence of body fluids with a technical pixel error of 1.0 ± 0.2 mm, suggesting a 84% or 92% (excluding one outlier)</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Jul</publication><modification>2025-05-18T12:40:47.563Z</modification><creation>2025-05-18T12:40:47.563Z</creation></dates><accession>S-EPMC8163395</accession><cross_references><pubmed>34123126</pubmed><doi>10.1039/d0sc02241a</doi></cross_references></HashMap>