Computational interference microscopy enabled by deep learning
Quantitative phase imaging (QPI) has been widely applied in characterizing cells and tissues. Spatial light interference microscopy (SLIM) is a highly sensitive QPI method due to its partially coherent illumination and common path interferometry geometry. However, SLIM’s acquisition rate is limited...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2021-04-01
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| Series: | APL Photonics |
| Online Access: | http://dx.doi.org/10.1063/5.0041901 |