Automated quantification of vacuole fusion and lipophagy in <i>Saccharomyces cerevisiae</i> from fluorescence and cryo-soft X-ray microscopy data using deep learning-Reference-Cited by-同舟云学术

Automated quantification of vacuole fusion and lipophagy in Saccharomyces cerevisiae from fluorescence and cryo-soft X-ray microscopy data using deep learning

Published:2023-10-31 Issue: Volume: Page:1-21
ISSN:1554-8627
Container-title:Autophagy
language:en
Short-container-title:Autophagy

Author:

Egebjerg Jacob Marcus¹²^ORCID,Szomek Maria¹^ORCID,Thaysen Katja¹^ORCID,Juhl Alice Dupont¹,Kozakijevic Suzana¹,Werner Stephan³,Pratsch Christoph³,Schneider Gerd³,Kapishnikov Sergey⁴,Ekman Axel⁵,Röttger Richard²,Wüstner Daniel¹^ORCID

Affiliation:

1. Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark

2. Department of Mathematics and Computer Science, University of Southern Denmark, Odense M, Denmark

3. Department of X‑Ray Microscopy, Helmholtz-Zentrum Berlin, Germany and Humboldt-Universität zu Berlin, Institut für Physik, Berlin, Germany

4. SiriusXT, 9A Holly Ave. Stillorgan Industrial Park, Blackrock, Co, Dublin, Ireland

5. Department of Biological and Environmental Science and Nanoscience Centre, University of Jyväskylä, Jyväskylä, Finland

Funder

Danmarks Frie Forskningsfond

Natur og Univers, Det Frie Forskningsråd

Villum Fonden

Publisher

Informa UK Limited

Subject

Cell Biology,Molecular Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15548627.2023.2270378

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2. Lipophagy pathways in yeast are controlled by their distinct modes of induction

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