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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Optical Society of America
2020
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| Materias: | |
| 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 |