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ERnet: a tool for the semantic segmentation and quantitative analysis of endoplasmic reticulum topology

Meng Lü, Charles N. Christensen, Jana M. Weber, Tasuku Konno, Nino F. Läubli, Katharina M. Scherer, Edward Avezov, Píetro Lió, Alexei A. Lapkin, Gabriele S. Kaminski Schierle, Clemens F. Kaminski

2023Nature Methods45 citationsDOIOpen Access PDF

Topics & Concepts

Endoplasmic reticulumSegmentationComputer scienceArtificial intelligencePhenotypeComputational biologyTopology (electrical circuits)Machine learningBiologyCell biologyGeneGeneticsMathematicsCombinatoricsCellular transport and secretionEndoplasmic Reticulum Stress and DiseaseAutophagy in Disease and Therapy
ERnet: a tool for the semantic segmentation and quantitative analysis of endoplasmic reticulum topology | Litcius