Analyzing Cell-Scaffold Interaction through Unsupervised 3D Nuclei Segmentation.

Yao, Kai; Sun, Jie; Huang, Kaizhu; Jing, Linzhi; Liu, Hang; Huang, Dejian; Jude, Curran

Yao, Kai; Sun, Jie; Huang, Kaizhu; Jing, Linzhi; Liu, Hang; Huang, Dejian; Jude, Curran.

Afiliación

Yao K; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, 111 Ren'ai Road, Suzhou, Jiangsu 215123, China.
Sun J; School of Engineering, University of Liverpool, The Quadrangle, Brownlow Hill, L69 3GH, UK.
Huang K; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, 111 Ren'ai Road, Suzhou, Jiangsu 215123, China.
Jing L; School of Advanced Technology, Xi'an Jiaotong-Liverpool University, 111 Ren'ai Road, Suzhou, Jiangsu 215123, China.
Liu H; National University of Singapore (Suzhou) Research Institute, 377 Linquan Street, Suzhou, Jiangsu 215123, China.
Huang D; Department of Food Science and Technology, National University of Singapore, 3 Science Drive 2, 117542, Singapore.
Jude C; National University of Singapore (Suzhou) Research Institute, 377 Linquan Street, Suzhou, Jiangsu 215123, China.

Int J Bioprint ; 8(1): 495, 2022.

Article en En | MEDLINE | ID: mdl-35187282

Palabras clave

3D nuclei segmentation; Aligned disentangled generative adversarial network; Cell-scaffold interaction; Fibrous scaffold-based cell culture; Unsupervised learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int J Bioprint Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Singapur

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