Automated detection and growth tracking of 3D bio-printed organoid clusters using optical coherence tomography with deep convolutional neural networks.

Bao, Di; Wang, Ling; Zhou, Xiaofei; Yang, Shanshan; He, Kangxin; Xu, Mingen

Bao, Di; Wang, Ling; Zhou, Xiaofei; Yang, Shanshan; He, Kangxin; Xu, Mingen.

Afiliación

Bao D; School of Automation, Hangzhou Dianzi University, Hangzhou, China.
Wang L; School of Automation, Hangzhou Dianzi University, Hangzhou, China.
Zhou X; Key Laboratory of Medical Information and 3D Bioprinting of Zhejiang Province, Hangzhou, China.
Yang S; School of Automation, Hangzhou Dianzi University, Hangzhou, China.
He K; Key Laboratory of Medical Information and 3D Bioprinting of Zhejiang Province, Hangzhou, China.
Xu M; School of Automation, Hangzhou Dianzi University, Hangzhou, China.

Front Bioeng Biotechnol ; 11: 1133090, 2023.

Article en En | MEDLINE | ID: mdl-37122853

Palabras clave

convolutional neural network; deep learning; optical coherence tomography; organoid; tracking

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Front Bioeng Biotechnol Año: 2023 Tipo del documento: Article País de afiliación: China

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