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Deep-qGFP: A Generalist Deep Learning Assisted Pipeline for Accurate Quantification of Green Fluorescent Protein Labeled Biological Samples in Microreactors.
Wei, Yuanyuan; Abbasi, Syed Muhammad Tariq; Mehmood, Nawaz; Li, Luoquan; Qu, Fuyang; Cheng, Guangyao; Hu, Dehua; Ho, Yi-Ping; Yuan, Wu; Ho, Ho-Pui.
Afiliación
  • Wei Y; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, 999 077, China.
  • Abbasi SMT; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, 999 077, China.
  • Mehmood N; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, 999 077, China.
  • Li L; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, 999 077, China.
  • Qu F; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, 999 077, China.
  • Cheng G; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, 999 077, China.
  • Hu D; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, 999 077, China.
  • Ho YP; Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, 999 077, China.
  • Yuan W; Centre for Biomaterials, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, 999 077, China.
  • Ho HP; Hong Kong Branch of CAS Center for Excellence in Animal Evolution and Genetics, Shatin, Hong Kong SAR, 999 077, China.
Small Methods ; 8(3): e2301293, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38010980
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Idioma: En Revista: Small Methods Año: 2024 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Idioma: En Revista: Small Methods Año: 2024 Tipo del documento: Article País de afiliación: China