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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Society of Photo-Optical Instrumentation Engineers
2020
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| Materias: | |
| 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 |