Deep learning approach for quantification of organelles and misfolded polypeptide delivery within degradative compartments-Reference-Cited by-同舟云学术

Deep learning approach for quantification of organelles and misfolded polypeptide delivery within degradative compartments

Published:2020-07-01 Issue:14 Volume:31 Page:1512-1524
ISSN:1059-1524
Container-title:Molecular Biology of the Cell
language:en
Short-container-title:MBoC

Author:

Morone Diego¹²,Marazza Alessandro¹²³,Bergmann Timothy J.¹²,Molinari Maurizio¹²⁴

Affiliation:

1. Università della Svizzera italiana, CH-6900 Lugano, Switzerland

2. Institute for Research in Biomedicine, CH-6500 Bellinzona, Switzerland

3. Graduate School for Cellular and Biomedical Sciences, University of Bern, CH-3000 Bern, Switzerland

4. École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland

Abstract

LysoQuant is a deep learning approach to segmentation and classification of fluorescent images capturing cargo delivery within endolysosomes for clearance. It yields information on various parameters of the activity of lysosome-driven pathways such as ER-phagy.

Publisher

American Society for Cell Biology (ASCB)

Subject

Cell Biology,Molecular Biology

Reference61 articles.

1. Advances in Analysis of Low Signal-to-Noise Images Link Dynamin and AP2 to the Functions of an Endocytic Checkpoint

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