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Speeding Up the Line-Scan Raman Imaging of Living Cells by Deep Convolutional Neural Network.
He, Hao; Xu, Mengxi; Zong, Cheng; Zheng, Peng; Luo, Lilan; Wang, Lei; Ren, Bin.
Afiliação
  • He H; School of Aerospace Engineering , Xiamen University , Xiamen 361005 , P. R. China.
  • Xu M; The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering , Xiamen University , Xiamen 361005 , P. R. C
  • Zong C; The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering , Xiamen University , Xiamen 361005 , P. R. C
  • Zheng P; School of Aerospace Engineering , Xiamen University , Xiamen 361005 , P. R. China.
  • Luo L; School of Aerospace Engineering , Xiamen University , Xiamen 361005 , P. R. China.
  • Wang L; School of Aerospace Engineering , Xiamen University , Xiamen 361005 , P. R. China.
  • Ren B; The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering , Xiamen University , Xiamen 361005 , P. R. C
Anal Chem ; 91(11): 7070-7077, 2019 06 04.
Article em En | MEDLINE | ID: mdl-31063356
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Processamento de Imagem Assistida por Computador / Redes Neurais de Computação Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Análise Espectral Raman / Processamento de Imagem Assistida por Computador / Redes Neurais de Computação Idioma: En Ano de publicação: 2019 Tipo de documento: Article