DiLFM: an artifact-suppressed and noise-robust light-field microscopy through dictionary learning

Light field microscopy (LFM) has been widely used for recording 3D biological dynamics at camera frame rate. However, LFM suffers from artifact contaminations due to the illness of the reconstruction problem via naïve Richardson–Lucy (RL) deconvolution. Moreover, the performance of LFM significantly...

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Detalles Bibliográficos
Autores principales: Zhang, Yuanlong, Xiong, Bo, Zhang, Yi, Lu, Zhi, Wu, Jiamin, Dai, Qionghai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316327/
https://www.ncbi.nlm.nih.gov/pubmed/34315860
http://dx.doi.org/10.1038/s41377-021-00587-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316327/
https://www.ncbi.nlm.nih.gov/pubmed/34315860
http://dx.doi.org/10.1038/s41377-021-00587-6

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