Universal point spread function engineering for 3D optical information processing

Md Sadman Sakib Rahman; Aydogan Ozcan

doi:10.1038/s41377-025-01887-x

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Universal point spread function engineering for 3D optical information processing

Original Articles

- Universal point spread function engineering for 3D optical information processing
- Universal point spread function engineering for 3D optical information processing
- LSA 2025年14卷第8期页码：2226-2242
- Affiliations：
  
  1.Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA
  2.Bioengineering Department, University of California, Los Angeles, CA, USA
  3.California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, USA
- Author bio：
  
  Aydogan Ozcan (ozcan@ucla.edu)
- Funds：
- DOI：10.1038/s41377-025-01887-x
  中图分类号：
- 收稿日期：2025-02-09，
  
  修回日期：2025-05-07，
  
  录用日期：2025-05-07，
  
  网络出版日期：2025-06-12，
  
  纸质出版日期：2025-08-31
- Accepted：
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Universal point spread function engineering for 3D optical information processing[J]. LSA, 2025,14(8):2226-2242.

Rahman, M. S. S. & Ozcan, A. Universal point spread function engineering for 3D optical information processing. Light: Science & Applications, 14, 2226-2242 (2025).
Universal point spread function engineering for 3D optical information processing[J]. LSA, 2025,14(8):2226-2242. DOI： 10.1038/s41377-025-01887-x.

Rahman, M. S. S. & Ozcan, A. Universal point spread function engineering for 3D optical information processing. Light: Science & Applications, 14, 2226-2242 (2025). DOI： 10.1038/s41377-025-01887-x.

摘要

Abstract

Point spread function (PSF) engineering has been pivotal in the remarkable progress made in high-resolution imaging in the last decades. However

the diversity in PSF structures attainable through existing engineering methods is limited. Here

we report universal PSF engineering

demonstrating a method to synthesize an arbitrary set of spatially varying 3D PSFs between the input and output volumes of a spatially incoherent diffractive processor composed of cascaded transmissive surfaces. We rigorously analyze the PSF engineering capabilities of such diffractive processors within the diffraction limit of light and provide numerical demonstrations of unique imaging capabilities

such as snapshot 3D multispectral imaging without involving any spectral filters

axial scanning or digital reconstruction steps

which is enabled by the spatial and spectral engineering of 3D PSFs. Our framework and analysis would be important for future advancements in computational imaging

sensing

and diffractive processing of 3D optical information.

关键词

Keywords

references

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