Quantitative phase microscopy using deep neural networks
Deep learning has been proven to achieve ground-breaking accuracy in various tasks. In this paper, we implemented a deep neural network (DNN) to achieve phase retrieval in a wide-field microscope. Our DNN utilized the residual neural network (ResNet) architecture and was trained using the data gener...
| Main Authors: | , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
SPIE,
2018-11-16T15:37:22Z.
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| Subjects: | |
| Online Access: | Get fulltext |