Deep learning-enhanced microscopy with extended depth-of-field

Yide Zhang

doi:10.1038/s41377-023-01323-y

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Deep learning-enhanced microscopy with extended depth-of-field

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- Deep learning-enhanced microscopy with extended depth-of-field
- Deep learning-enhanced microscopy with extended depth-of-field
- LSA 2023年12卷第12期页码：2548-2550
- Affiliations：
  
  Caltech Optical Imaging Laboratory, Andrew and Peggy Cherng Department of Medical Engineering, Department of Electrical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
- Author bio：
  
  Yide Zhang (yzhang34@caltech.edu)
- Funds：
- DOI：10.1038/s41377-023-01323-y
  中图分类号：
- 纸质出版日期：2023-12-31，
  
  网络出版日期：2023-11-24，
- Accepted：
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Deep learning-enhanced microscopy with extended depth-of-field[J]. LSA, 2023,12(12):2548-2550.

Zhang, Y. D. Deep learning-enhanced microscopy with extended depth-of-field. Light: Science & Applications, 12, 2548-2550 (2023).
Deep learning-enhanced microscopy with extended depth-of-field[J]. LSA, 2023,12(12):2548-2550. DOI： 10.1038/s41377-023-01323-y.

Zhang, Y. D. Deep learning-enhanced microscopy with extended depth-of-field. Light: Science & Applications, 12, 2548-2550 (2023). DOI： 10.1038/s41377-023-01323-y.

摘要

Abstract

A computational imaging platform utilizing a physics-incorporated

deep-learned design of binary phase filter and a jointly optimized deconvolution neural network has been reported

achieving high-resolution

high-contrast imaging over extended depth ranges without the need for serial refocusing.

关键词

Keywords

references

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Ronneberger, O., Fischer, P.&Brox, T. U-Net: convolutional networks for biomedical image segmentation. InMedical Image Computing and Computer-Assisted Intervention – MICCAI 2015. MICCAI 2015, Vol 9351 (eds Navab, N., Hornegger, J., Wells, W., Frangi, A. ) Lecture Notes in Computer Science, (Springer, Cham, 2015).

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Cao, R. et al. Optical-resolution photoacoustic microscopy with a needle-shaped beam.Nat. Photonics17, 89–95 (2023)..

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