Practical sensorless aberration estimation for 3D microscopy with deep learning

Estimation of optical aberrations from volumetric intensity images is a key step in sensorless adaptive optics for 3D microscopy. Recent approaches based on deep learning promise accurate results at fast processing speeds. However, collecting ground truth microscopy data for training the network is...

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Detalles Bibliográficos
Autores principales: Saha, Debayan, Schmidt, Uwe, Zhang, Qinrong, Barbotin, Aurelien, Hu, Qi, Ji, Na, Booth, Martin J., Weigert, Martin, Myers, Eugene W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679184/
https://www.ncbi.nlm.nih.gov/pubmed/33114810
http://dx.doi.org/10.1364/OE.401933

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679184/
https://www.ncbi.nlm.nih.gov/pubmed/33114810
http://dx.doi.org/10.1364/OE.401933

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