<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>6(1)</volume><submitter>Schueth A</submitter><pubmed_abstract>The ability to image human tissue samples in 3D, with both cellular resolution and a large field of view (FOV), can improve fundamental and clinical investigations. Here, we demonstrate the feasibility of light-sheet imaging of ~5 cm&lt;sup>3&lt;/sup> sized formalin fixed human brain and up to ~7 cm&lt;sup>3&lt;/sup> sized formalin fixed paraffin embedded (FFPE) prostate cancer samples, processed with the FFPE-MASH protocol. We present a light-sheet microscopy prototype, the cleared-tissue dual view Selective Plane Illumination Microscope (ct-dSPIM), capable of fast 3D high-resolution acquisitions of cm&lt;sup>3&lt;/sup> scale cleared tissue. We used mosaic scans for fast 3D overviews of entire tissue samples or higher resolution overviews of large ROIs with various speeds: (a) Mosaic 16 (16.4 µm isotropic resolution, ~1.7 h/cm&lt;sup>3&lt;/sup>), (b) Mosaic 4 (4.1 µm isotropic resolution, ~ 5 h/cm&lt;sup>3&lt;/sup>) and (c) Mosaic 0.5 (0.5 µm near isotropic resolution, ~15.8 h/cm&lt;sup>3&lt;/sup>). We could visualise cortical layers and neurons around the border of human brain areas V1&amp;V2, and could demonstrate suitable imaging quality for Gleason score grading in thick prostate cancer samples. We show that ct-dSPIM imaging is an excellent technique to quantitatively assess entire MASH prepared large-scale human tissue samples in 3D, with considerable future clinical potential.</pubmed_abstract><journal>Communications biology</journal><pagination>170</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9925784</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Efficient 3D light-sheet imaging of very large-scale optically cleared human brain and prostate tissue samples.</pubmed_title><pmcid>PMC9925784</pmcid><pubmed_authors>Zur Hausen A</pubmed_authors><pubmed_authors>Schueth A</pubmed_authors><pubmed_authors>Kiessling A</pubmed_authors><pubmed_authors>Hildebrand S</pubmed_authors><pubmed_authors>Samarska I</pubmed_authors><pubmed_authors>Herrler A</pubmed_authors><pubmed_authors>Sengupta S</pubmed_authors><pubmed_authors>Capalbo M</pubmed_authors><pubmed_authors>Roebroeck A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Efficient 3D light-sheet imaging of very large-scale optically cleared human brain and prostate tissue samples.</name><description>The ability to image human tissue samples in 3D, with both cellular resolution and a large field of view (FOV), can improve fundamental and clinical investigations. Here, we demonstrate the feasibility of light-sheet imaging of ~5 cm&lt;sup>3&lt;/sup> sized formalin fixed human brain and up to ~7 cm&lt;sup>3&lt;/sup> sized formalin fixed paraffin embedded (FFPE) prostate cancer samples, processed with the FFPE-MASH protocol. We present a light-sheet microscopy prototype, the cleared-tissue dual view Selective Plane Illumination Microscope (ct-dSPIM), capable of fast 3D high-resolution acquisitions of cm&lt;sup>3&lt;/sup> scale cleared tissue. We used mosaic scans for fast 3D overviews of entire tissue samples or higher resolution overviews of large ROIs with various speeds: (a) Mosaic 16 (16.4 µm isotropic resolution, ~1.7 h/cm&lt;sup>3&lt;/sup>), (b) Mosaic 4 (4.1 µm isotropic resolution, ~ 5 h/cm&lt;sup>3&lt;/sup>) and (c) Mosaic 0.5 (0.5 µm near isotropic resolution, ~15.8 h/cm&lt;sup>3&lt;/sup>). We could visualise cortical layers and neurons around the border of human brain areas V1&amp;V2, and could demonstrate suitable imaging quality for Gleason score grading in thick prostate cancer samples. We show that ct-dSPIM imaging is an excellent technique to quantitatively assess entire MASH prepared large-scale human tissue samples in 3D, with considerable future clinical potential.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Feb</publication><modification>2025-04-18T21:32:11.219Z</modification><creation>2025-04-07T09:24:45.677Z</creation></dates><accession>S-EPMC9925784</accession><cross_references><pubmed>36781939</pubmed><doi>10.1038/s42003-023-04536-4</doi></cross_references></HashMap>