Deep‐MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy (Adv. Sci. 27/2023)

Deep Learning In article number 2300947, Jia Li, Junle Qu, and their co‐workers develop a deep‐learning‐based reconstruction algorithm for multifocal structured illumination microscopy to obtain the super‐resolution image. It is validated on diverse biological structures and very fast, showing the p...

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Detalles Bibliográficos
Autores principales: Liao, Jianhui, Zhang, Chenshuang, Xu, Xiangcong, Zhou, Liangliang, Yu, Bin, Lin, Danying, Li, Jia, Qu, Junle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Frontispiece
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520651/
http://dx.doi.org/10.1002/advs.202370185
Descripción
Sumario:Deep Learning In article number 2300947, Jia Li, Junle Qu, and their co‐workers develop a deep‐learning‐based reconstruction algorithm for multifocal structured illumination microscopy to obtain the super‐resolution image. It is validated on diverse biological structures and very fast, showing the potential for real‐time reconstruction, without compromising spatial resolution. [Image: see text]

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