Vacuolar Phenotype Analyzer
The Vacuolar Phenotype Analyzer uses a CNN to detect individual yeast cells in confocal images and classify each cell by vacuolar fragmentation level.
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Vacuolar Phenotype Analyzer
Summary
Vacuolar Phenotype Analyzer is a software[1]. It is known by 4 alternative names across languages and contexts.[2]
Key Facts
- Vacuolar Phenotype Analyzer authored Benjamín Szenfeld[3].
- Vacuolar Phenotype Analyzer's instance of is recorded as software[4].
- Vacuolar Phenotype Analyzer's copyright license is recorded as Creative Commons Attribution-ShareAlike 4.0 International[5].
- Vacuolar Phenotype Analyzer's programmed in is recorded as Python[6].
- Vacuolar Phenotype Analyzer's DOI is recorded as 10.5281/ZENODO.18124375[7].
- Vacuolar Phenotype Analyzer's has use is recorded as image analysis[8].
- Vacuolar Phenotype Analyzer's has use is recorded as image analysis[9].
- Vacuolar Phenotype Analyzer's has use is recorded as ImageJ[10].
- Vacuolar Phenotype Analyzer's has use is recorded as phenotypic screening[11].
- Vacuolar Phenotype Analyzer's has use is recorded as vacuolar membrane[12].
- Vacuolar Phenotype Analyzer's official website is recorded as https://github.com/bioszen/Vacuolar-phenotype-analizer[13].
- Vacuolar Phenotype Analyzer's described at URL is recorded as https://zenodo.org/records/18124375[14].
- Vacuolar Phenotype Analyzer's published in is recorded as Zenodo[15].
Body
Works and Contributions
Vacuolar Phenotype Analyzer authored Benjamín Szenfeld[3].
Why It Matters
Vacuolar Phenotype Analyzer is known by 4 alternative names across languages and contexts.[2]