A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy

To accurately segment cell edges and quantify cellular morphodynamics from live-cell imaging data, we developed a deep learning-based pipeline termed MARS-Net (multiple-microscopy-type-based accurate and robust segmentation network). MARS-Net utilizes transfer learning and data from multiple types o...

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Detalles Bibliográficos
Autores principales: Jang, Junbong, Wang, Chuangqi, Zhang, Xitong, Choi, Hee June, Pan, Xiang, Lin, Bolun, Yu, Yudong, Whittle, Carly, Ryan, Madison, Chen, Yenyu, Lee, Kwonmoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654120/
https://www.ncbi.nlm.nih.gov/pubmed/34888542
http://dx.doi.org/10.1016/j.crmeth.2021.100105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654120/
https://www.ncbi.nlm.nih.gov/pubmed/34888542
http://dx.doi.org/10.1016/j.crmeth.2021.100105

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