<HashMap><database>bioimages</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Tobias Kletter</submitter><species>Homo sapiens (human)</species><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-BSST669</full_dataset_link><repository>bioimages</repository><figure_sub>Organization</figure_sub><pubmed_authors>Christian Tischer</pubmed_authors><pubmed_authors>Simone Reber</pubmed_authors><pubmed_authors>Sebastian Reusch</pubmed_authors><pubmed_authors>Tobias Kletter</pubmed_authors><pubmed_authors>Tommaso Cavazza</pubmed_authors><pubmed_authors>Nils Dempewolf</pubmed_authors></additional><is_claimable>false</is_claimable><name>Confocal imaging data for "Volumetric morphometry reveals mitotic spindle width as the best predictor of spindle scaling"</name><description>Raw confocal imaging data sets of mitotic cells of various cell types with fluorescently-labeled chromatin and tubulin. For our study, we developed an open-source 3D morphometric analysis tool "Spindle3D" (https://sites.imagej.net/Spindle3D) to robustly and reproducibly derive morphometric quantifications from confocal spindle images.</description><dates><release>2021-06-24T00:00:00Z</release><modification>2023-03-10T13:59:56.946Z</modification><creation>2021-06-22T08:28:30Z</creation></dates><accession>S-BSST669</accession><cross_references/></HashMap>