Published February 22, 2021
| Version 1.0
Dataset
Open
Phindr3D: Data underlying the figures of the paper "Rapid 3D phenotypic analysis of neurons and organoids using data-driven cell segmentation-free machine learning"
Authors/Creators
- 1. Charité - Universitätsmedizin Berlin
- 2. Sunnybrook Research Institute
- 3. Princess Margaret Cancer Centre
Description
The ZIP file contains the numerical data underlying the figures of the paper, either in MS Excel format or as CSV files.
For details see:
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_numerical-figure-data.zip
Files
(33.1 MB)
| Name | Size | Download all |
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md5:f67fcb6df7398d03dfd0f2ea2c785576
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33.1 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Journal article: 10.1371/journal.pcbi.1008630 (DOI)
- Software: https://github.com/DWALab/Phindr3D (URL)
- Is supplemented by
- Dataset: 10.5281/zenodo.4064148 (DOI)
- Dataset: 10.5281/zenodo.4384912 (DOI)