Performance evaluation of point-spread function engineering to reduce the impact of depth-induced aberrations on extended depth-of-field microscopy

Shuai Yuan; Chrysanthe Preza

doi:10.1117/12.908908

2 February 2012 Performance evaluation of point-spread function engineering to reduce the impact of depth-induced aberrations on extended depth-of-field microscopy

Shuai Yuan, Chrysanthe Preza

Author Affiliations +

Proceedings Volume 8227, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XIX; 822703 (2012) https://doi.org/10.1117/12.908908
Event: SPIE BiOS, 2012, San Francisco, California, United States

Abstract

In this study, we evaluated a point-spread function (PSF) engineered using wave front encoding (WFE) and a generalized cubic phase mask (GCPM) design selected to reduce the impact of depth-induced spherical aberration (SA) on extended depth-of-field (EDOF) microscopy with high NA lenses. Mean-square-error based metrics computed from three-dimensional (3D) depth-variant WFE-PSFs with increasing amounts of SA were used to quantify the engineered PSF's sensitivity to SA and to compare it to the sensitivity of the cubic-phase mask (CPM) PSF traditionally used for EDOF microscopy. The potential performance of the engineered PSF with resilience to SA was further evaluated with simulations in which EDOF images of a 3D object were obtained by processing WFE images with and without SA. A qualitative and quantitative comparison of the EDOF images with the true object show that the WFE-PSF engineering with the selected GCPM design provides better performance in reducing the impact of SA. In addition, the GCPM-based EDOF images do not suffer from the known lateral shift of object features located away from the plane of focus encountered in traditional CPM-based EDOF images.

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Shuai Yuan and Chrysanthe Preza "Performance evaluation of point-spread function engineering to reduce the impact of depth-induced aberrations on extended depth-of-field microscopy", Proc. SPIE 8227, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XIX, 822703 (2 February 2012); https://doi.org/10.1117/12.908908

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KEYWORDS

Point spread functions

3D image processing

Microscopy

Simulation of CCA and DLA aggregates

Image processing

3D modeling

Computer simulations

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