Protocol for live cell image segmentation to profile cellular morphodynamics using MARS-Net

Quantitative studies of cellular morphodynamics rely on accurate cell segmentation in live cell images. However, fluorescence and phase contrast imaging hinder accurate edge localization. To address this challenge, we developed MARS-Net, a deep learning model integrating ImageNet-pretrained VGG19 en...

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Detalles Bibliográficos
Autores principales: Jang, Junbong, Hallinan, Caleb, Lee, Kwonmoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207580/
https://www.ncbi.nlm.nih.gov/pubmed/35733606
http://dx.doi.org/10.1016/j.xpro.2022.101469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9207580/
https://www.ncbi.nlm.nih.gov/pubmed/35733606
http://dx.doi.org/10.1016/j.xpro.2022.101469

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