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

Lu, Meng; Christensen, Charles N; Weber, Jana M; Konno, Tasuku; Läubli, Nino F; Scherer, Katharina M; Avezov, Edward; Lio, Pietro; Lapkin, Alexei A; Kaminski Schierle, Gabriele S; Kaminski, Clemens F

Lu, Meng; Christensen, Charles N; Weber, Jana M; Konno, Tasuku; Läubli, Nino F; Scherer, Katharina M; Avezov, Edward; Lio, Pietro; Lapkin, Alexei A; Kaminski Schierle, Gabriele S; Kaminski, Clemens F.

Afiliação

Lu M; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Christensen CN; Cambridge Infinitus Research Centre, University of Cambridge, Cambridge, UK.
Weber JM; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Konno T; Artificial Intelligence Group, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK.
Läubli NF; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Scherer KM; Delft Bioinformatics Lab, Intelligent Systems Department, Delft University of Technology, Delft, the Netherlands.
Avezov E; UK Dementia Research Institute at the University of Cambridge and Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Lio P; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Lapkin AA; Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Kaminski Schierle GS; UK Dementia Research Institute at the University of Cambridge and Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Kaminski CF; Artificial Intelligence Group, Department of Computer Science and Technology, University of Cambridge, Cambridge, UK.

Nat Methods ; 20(4): 569-579, 2023 04.

Article em En | MEDLINE | ID: mdl-36997816

Assuntos

Retículo Endoplasmático; Semântica; Retículo Endoplasmático/metabolismo

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Semântica / Retículo Endoplasmático Idioma: En Revista: Nat Methods Assunto da revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

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