Phase imaging with an untrained neural network

Most of the neural networks proposed so far for computational imaging (CI) in optics employ a supervised training strategy, and thus need a large training set to optimize their weights and biases. Setting aside the requirements of environmental and system stability during many hours of data acquisit...

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Detalles Bibliográficos
Autores principales: Wang, Fei, Bian, Yaoming, Wang, Haichao, Lyu, Meng, Pedrini, Giancarlo, Osten, Wolfgang, Barbastathis, George, Situ, Guohai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200792/
https://www.ncbi.nlm.nih.gov/pubmed/32411362
http://dx.doi.org/10.1038/s41377-020-0302-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200792/
https://www.ncbi.nlm.nih.gov/pubmed/32411362
http://dx.doi.org/10.1038/s41377-020-0302-3

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