0602859 - MBÚ 2025 RIV US eng J - Journal Article
Vojtová, Jana - Čapek, Martin - Willeit, S. - Groušl, Tomáš - Chvalová, Věra - Kutejová, E. - Pevala, V. - Valášek, Leoš Shivaya - Rinnerthaler, M.
A fully automated morphological analysis of yeast mitochondria from wide-field fluorescence images.
Scientific Reports. Roč. 14, č. 1 (2024), č. článku 30144. ISSN 2045-2322. E-ISSN 2045-2322
R&D Projects: GA MŠMT(CZ) LUASK22100; GA MŠMT(CZ) EH22_008/0004575; GA MŠMT(CZ) 8J20AT023
Research Infrastructure: Czech-BioImaging III - 90250
Institutional support: RVO:61388971 ; RVO:67985823
Keywords : Yeast * Mitochondria * Deep learning * Oxidative stress * Mmi1 * tctp
OECD category: Microbiology; Biochemical research methods (FGU-C)
Impact factor: 3.9, year: 2024 ; AIS: 1.029, rok: 2024
Method of publishing: Open access
Result website:
https://www.nature.com/articles/s41598-024-81241-0DOI: https://doi.org/10.1038/s41598-024-81241-0
Permanent Link: https://hdl.handle.net/11104/0360177