Virtual organelle self-coding for fluorescence imaging via adversarial learning

Significance: Our study introduces an application of deep learning to virtually generate fluorescence images to reduce the burdens of cost and time from considerable effort in sample preparation related to chemical fixation and staining. Aim: The objective of our work was to determine how successful...

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Detalles Bibliográficos
Autores principales: Nguyen, Thanh, Bui, Vy, Thai, Anh, Lam, Van, Raub, Christopher B., Chang, Lin-Ching, Nehmetallah, George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2020
Materias:
Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522603/
https://www.ncbi.nlm.nih.gov/pubmed/32996300
http://dx.doi.org/10.1117/1.JBO.25.9.096009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522603/
https://www.ncbi.nlm.nih.gov/pubmed/32996300
http://dx.doi.org/10.1117/1.JBO.25.9.096009

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