DeepProjection: specific and robust projection of curved 2D tissue sheets from 3D microscopy using deep learning.

Haertter, Daniel; Wang, Xiaolei; Fogerson, Stephanie M; Ramkumar, Nitya; Crawford, Janice M; Poss, Kenneth D; Di Talia, Stefano; Kiehart, Daniel P; Schmidt, Christoph F

Haertter, Daniel; Wang, Xiaolei; Fogerson, Stephanie M; Ramkumar, Nitya; Crawford, Janice M; Poss, Kenneth D; Di Talia, Stefano; Kiehart, Daniel P; Schmidt, Christoph F.

Afiliación

Haertter D; Department of Physics and Soft Matter Center, Duke University, Durham, NC 27708, USA.
Wang X; Institute of Pharmacology and Toxicology, Göttingen University Medical Center, Göttingen 37075, Germany.
Fogerson SM; Advanced Light Imaging and Spectroscopy Facility, Department of Physics, Duke University, Durham, NC 27708, USA.
Ramkumar N; Department of Biology, Duke University, Durham, NC 27708, USA.
Crawford JM; Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA.
Poss KD; Department of Biology, Duke University, Durham, NC 27708, USA.
Di Talia S; Department of Biology, Duke University, Durham, NC 27708, USA.
Kiehart DP; Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA.
Schmidt CF; Department of Cell Biology, Duke University Medical Center, Durham, NC 27710, USA.

Development ; 149(21)2022 11 01.

Article en En | MEDLINE | ID: mdl-36178108

Asunto(s)

Aprendizaje Profundo; Microscopía; Microscopía/métodos; Algoritmos; Artefactos; Procesamiento de Imagen Asistido por Computador/métodos; Imagenología Tridimensional/métodos

Palabras clave

2D projection; 3D image analysis; Deep learning; Software; Tissue morphogenesis

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Microscopía Idioma: En Revista: Development Asunto de la revista: BIOLOGIA / EMBRIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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