Optimal sparsity allows reliable system-aware restoration of fluorescence microscopy images

Fluorescence microscopy is one of the most indispensable and informative driving forces for biological research, but the extent of observable biological phenomena is essentially determined by the content and quality of the acquired images. To address the different noise sources that can degrade thes...

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Detalles Bibliográficos
Autores principales: Mandracchia, Biagio, Liu, Wenhao, Hua, Xuanwen, Forghani, Parvin, Lee, Soojung, Hou, Jessica, Nie, Shuyi, Xu, Chunhui, Jia, Shu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Physical and Materials Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468132/
https://www.ncbi.nlm.nih.gov/pubmed/37647399
http://dx.doi.org/10.1126/sciadv.adg9245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10468132/
https://www.ncbi.nlm.nih.gov/pubmed/37647399
http://dx.doi.org/10.1126/sciadv.adg9245

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