Rapid image deconvolution and multiview fusion for optical microscopy

The contrast and resolution of images obtained with optical microscopes can be improved by deconvolution and computational fusion of multiple views of the same sample, but these methods are computationally expensive for large datasets. Here we describe theoretical and practical advances in algorithm...

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Библиографические подробности
Опубликовано в: :Nat Biotechnol
Главные авторы: Guo, Min, Li, Yue, Su, Yijun, Lambert, Talley, Nogare, Damian Dalle, Moyle, Mark W., Duncan, Leighton H., Ikegami, Richard, Santella, Anthony, Rey-Suarez, Ivan, Green, Daniel, Beiriger, Anastasia, Chen, Jiji, Vishwasrao, Harshad, Ganesan, Sundar, Prince, Victoria, Waters, Jennifer C., Annunziata, Christina M., Hafner, Markus, Mohler, William A., Chitnis, Ajay B., Upadhyaya, Arpita, Usdin, Ted B., Bao, Zhirong, Colόn-Ramos, Daniel, La Riviere, Patrick, Liu, Huafeng, Wu, Yicong, Shroff, Hari
Формат: Artigo
Язык:Inglês
Опубликовано: 2020
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Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7642198/
https://ncbi.nlm.nih.gov/pubmed/32601431
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41587-020-0560-x
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