<HashMap><database>bioimages</database><scores/><additional><omics_type>Unknown</omics_type><submitter/><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-BIAD616</full_dataset_link><repository>bioimages</repository><figure_sub>Specimen</figure_sub><figure_sub>Image analysis</figure_sub><figure_sub>Funding</figure_sub><figure_sub>Study Component</figure_sub><figure_sub>organisation</figure_sub><figure_sub>Biosample</figure_sub><figure_sub>Associations</figure_sub><figure_sub>Image acquisition</figure_sub><pubmed_authors>Peyton J. Tebon</pubmed_authors><pubmed_authors>Sara Sartini</pubmed_authors><pubmed_authors>Alice Soragni</pubmed_authors><pubmed_authors>Brandon L. Tsai</pubmed_authors><pubmed_authors>Patrycja Krawczuk</pubmed_authors><pubmed_authors>Bowen Wang</pubmed_authors><pubmed_authors>Huyen Thi Lam Nguyen</pubmed_authors><pubmed_authors>Alfredo Enrique Gonzalez</pubmed_authors><pubmed_authors>Alexander L. Markowitz</pubmed_authors><pubmed_authors>Paul C. Boutros</pubmed_authors><pubmed_authors>Ardalan Davarifar</pubmed_authors><pubmed_authors>Graeme Murray</pubmed_authors><pubmed_authors>Michael A. Teitell</pubmed_authors><pubmed_authors>Nasrin Tavanaie</pubmed_authors><pubmed_authors>Thang L. Nguyen</pubmed_authors></additional><is_claimable>false</is_claimable><name>High-speed live cell interferometry (HSLCI) images of bioprinted BT-474 and MCF-7 organoids</name><description>We developed a pipeline to generate bioprinted tumor organoids linked to label-free, time-resolved imaging via high-speed live cell interferometry (HSLCI) and machine learning-based quantitation of individual organoids. Bioprinting cells gives rise to 3D organoid structures that preserve tumor histology and gene expression. HSLCI imaging in tandem with machine learning-based image segmentation and organoid classification tools enables accurate, label-free parallel mass measurements for thousands of bioprinted organoids. We demonstrate that this strategy identifies organoid transiently or persistently sensitive or resistant to specific therapies, providing detailed, actionable information to guide rapid therapy selection.
The imaging files uploaded are the unwrapped phase images for each im</description><dates><release>2023-02-04T00:00:00Z</release><modification>2023-02-23T00:08:54.537Z</modification><creation>2023-01-31T23:45:45.679Z</creation></dates><accession>S-BIAD616</accession><cross_references/></HashMap>