Published February 22, 2021 | Version 1.0

Phindr3D: Test Data Set 2 (human MCF10A breast cancer organoids)

  • 1. Charité - Universitätsmedizin Berlin
  • 2. Sunnybrook Research Institute
  • 3. Princess Margaret Cancer Centre

Description

3D confocal image stacks of human MCF10A breast cancer organoids expressing different oncogenes to test the functionality of Phindr3D. Explanatory .txt file contained in the ZIP files.

Please see the manuscript for details and on how to access the full data set:

 

Rapid 3D phenotypic analysis of neurons and organoids using data-driven cell segmentation-free machine learning

Philipp Mergenthaler*, Santosh Hariharan*, James M. Pemberton, Corey Lourenco, Linda Z. Penn, David W. Andrews

PLOS Computational Biology, DOI: 10.1371/journal.pcbi.1008630

 

Phindr3D is available on GitHub: GitHub - DWALab/Phindr3D

Notes

Funding: This work was supported by CIHR Foundation grant FDN 143312 (DWA), CIHR grant PJT 156167 (LZP), the European Union's Seventh Framework Programme (FP7/2008–2013) under Grant Agreement 627951 (Marie Curie IOF to PM), the German Academic Exchange Service (DAAD) with funds from the German Federal Ministry of Education and Research (57212163 to PM), and in part by the Bundesministerium für Bildung und Forschung, Germany (BMBF, grant no. 16GW0191 to PM). JMP is recipient of the Queen Elizabeth II graduate scholarship in science and technology. PM has been supported by the BIH‐Charité Clinical Scientist Program funded by the Charité – Universitätsmedizin Berlin and the Berlin Institute of Health. DWA holds a Tier 1 Canada Research Chair (CRC) in Membrane Biogenesis. LZP holds a Tier 1 CRC in Molecular Oncology.

Files

Phindr3D_organoid-sample-data.zip

Files (5.5 GB)

Name Size
md5:45dc698abb976de32fe45e119fa74f27
5.5 GB Preview Download

Additional details

Related works

Is documented by
Journal article: 10.1371/journal.pcbi.1008630 (DOI)
Is supplement to
Software: https://github.com/DWALab/Phindr3D (URL)
Is supplemented by
Dataset: 10.5281/zenodo.4385040 (DOI)
Dataset: 10.5281/zenodo.4064148 (DOI)

Funding

European Commission
AINIGMA - Analysing Intravital Neuronal Protein Interactions in Metabolism and Apoptosis 627951