Point spread function estimation from projected speckle illumination

Nizan Meitav; Erez N Ribak; Shy Shoham

doi:10.1038/lsa.2016.48

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Point spread function estimation from projected speckle illumination

Original Articles

- Point spread function estimation from projected speckle illumination
- Point spread function estimation from projected speckle illumination
- LSA 2016年5卷第2期
- Affiliations：
  
  1.Department of Biomedical Engineering, Technion—Israel Institute of Technology, Technion City, Haifa 32000, Israel
  2.Department of Physics, Technion—Israel Institute of Technology, Technion City, Haifa 32000, Israel
- Author bio：
  
  N Meitav, Email: nizanm@bm.technion.ac.il
  S Shoham, Email: sshoham@bm.technion.ac.il
- Funds：
- DOI：10.1038/lsa.2016.48
  中图分类号：
- 纸质出版日期：2016-06，
  
  网络出版日期：2015-11-18，
  
  收稿日期：2015-06-21，
  
  修回日期：2015-11-15，
  
  录用日期：2015-11-17
- Accepted：
Scan QR Code
Point spread function estimation from projected speckle illumination[J]. LSA, 2016,5(2).

Meitav, N., Ribak, E. N. & Shoham, S. Point spread function estimation from projected speckle illumination. Light: Science & Applications, 5, e16048 (2016).
Point spread function estimation from projected speckle illumination[J]. LSA, 2016,5(2). DOI： 10.1038/lsa.2016.48.

Meitav, N., Ribak, E. N. & Shoham, S. Point spread function estimation from projected speckle illumination. Light: Science & Applications, 5, e16048 (2016). DOI： 10.1038/lsa.2016.48.

摘要

Abstract

The resolution of an imaging apparatus is ideally limited by the diffraction properties of the light passing through the system aperture

but in many practical cases

inhomogeneities in the light propagating medium or imperfections in the optics degrade the image resolution. Here we introduce a powerful and practical new approach for estimating the point spread function (PSF) of an imaging system on the basis of PSF Estimation from Projected Speckle Illumination (PEPSI). PEPSI uses the fact that the speckles' phase randomness cancels the effects of the aberrations in the illumination path

thereby providing an objective pattern for measuring the deformation of the imaging path. Using this approach

both wide-field-of-view and local-PSF estimation can be obtained by calibration-free

single-speckle-pattern projection. Finally

we demonstrate the feasibility of using PEPSI estimates for resolution improvement in iterative maximum likelihood deconvolution.

关键词

Keywords

deconvolutionmicroscopyoptical aberrationsspeckle pattern

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