Published June 22, 2023
| Version v1
Dataset
Open
Vacuole fusion in fluorescent images training data
Authors/Creators
- 1. University of Southern Denmark
Description
Fluorescent image training data for classification tasks associated with the paper ‘Automated quantification of vacuole fusion and lipophagy in Saccharomyces cerevisiae from fluorescence and cryo-soft X-ray microscopy data using deep learning’ https://doi.org/10.1101/2023.02.27.530171
All images contain a ROI with FM4-64 and BODIPY 493/503 channels. Images are placed in folders corresponding to their respective classes.
Files
fluorescence_vacuole_fusion_training_data.zip
Files
(373.0 MB)
| Name | Size | Download all |
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md5:d76f259b459ca96c4299e033cacdbb9d
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373.0 MB | Preview Download |
Additional details
Related works
- Is part of
- Journal article: 10.1101/2023.02.27.530171 (DOI)