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

Yide Zhang

doi:10.1038/s41377-023-01323-y

Go to Nature Website

Your Location：

Home >

Browse articles >

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

News & Views

- Deep learning-enhanced microscopy with extended depth-of-field
- Light: Science & Applications Vol. 12, Issue 12, Pages: 2548-2550(2023)
- 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
  CLC：
- Published：31 December 2023，
  
  Published Online：24 November 2023，
- Accepted：
Scan QR Code
Zhang, Y. D. Deep learning-enhanced microscopy with extended depth-of-field. Light: Science & Applications, 12, 2548-2550 (2023).
DOI：

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

Meng, Q. et al. A drop-in, focus-extending phase mask simplifies microscopic and microfluidic imaging systems for cost-effective point-of-care diagnostics.Anal. Chem.94, 11000–11007 (2022)..

Jin, L. B. et al. Deep learning extended depth-of-field microscope for fast and slide-free histology.Proc. Natl Acad. Sci. USA117, 33051–33060 (2020)..

Kim, J. et al. Endoscopic micro-optical coherence tomography withextended depth of focus using a binary phase spatial filter.Opt. Lett.42, 379–382 (2017)..

Martínez-Corral, M. et al. Tunable axial superresolution by annular binary filters. Application to confocal microscopy.Opt. Commun.119, 491–498 (1995)..

Liu, L. B. et al. Binary-phase spatial filter for real-time swept-source optical coherence microscopy.Opt. Lett.32, 2375–2377 (2007)..

Ryu, S. et al. Light sheet fluorescence microscopy using axi-symmetric binary phase filters.Biomed. Opt. Express11, 3936–3951 (2020)..

Falcón, R. et al. Performance limits of binary annular phase masks codesigned for depth-of-field extension.Opt. Eng.56, 065104 (2017)..

Seong, B. et al. E2E-BPF microscope: extended depth-of-field microscopy using learning-based implementation of binary phase filter and image deconvolution.Light Sci. Appl12, 269 (2023)..

Karniadakis, G. E. et al. Physics-informed machine learning.Nat. Rev. Phys.3, 422–440 (2021)..

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).

Huang, D. et al. Optical coherence tomography.Science254, 1178–1181 (1991)..

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

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰