Share Email Print

Proceedings Paper

3D fluorescence microscopy imaging accounting for depth-varying point-spread functions predicted by a strata interpolation method and a principal component analysis method
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In three-dimensional (3D) computational imaging for wide-field microscopy, estimation methods that solve the inverse imaging problem play an important role. The accuracy of the forward model has a significant impact on the complexity of the estimation method and consequently on the accuracy of the estimated intensity. Previous studies have shown that a forward model based on a depth-varying point-spread function (DV-PSF) leads to a substantial improvement in the resulting images because it accounts for depth-induced aberrations present in the imaging system. In this depth-varying (DV) model, the depth-dependent imaging effects are handled using a stratum-based interpolation method defined on discrete, non-overlapping layers or strata along the Z axis. Recently, a new approximation method based on a principle component analysis (PCA) was developed to predict DV-PSFs1 with improved accuracy over the DV-PSFs predicted by the strata interpolation method of Ref. [11]. In this study, we implemented the PCA-based forward model for DV imaging to further compare the two approaches. DV-PSFs and forward models were computed using both the strata-based and the new PCA-based approximation schemes. Differences are quantified as a function of the approximation, i.e. the number of bases or strata used in each case respectively. A new PCA-based image estimation method was also developed based on the DV expectation maximization (DV-EM) algorithm of Ref. [11]. Preliminary evaluation of the performance of the PCA-based estimation shows promising results and consistency with previous results obtained in previous studies.

Paper Details

Date Published: 22 February 2011
PDF: 7 pages
Proc. SPIE 7904, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XVIII, 79040M (22 February 2011); doi: 10.1117/12.875781
Show Author Affiliations
Shuai Yuan, The Univ. of Memphis (United States)
Chrysanthe Preza, The Univ. of Memphis (United States)

Published in SPIE Proceedings Vol. 7904:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XVIII
Jose-Angel Conchello; Carol J. Cogswell; Tony Wilson; Thomas G. Brown, Editor(s)

© SPIE. Terms of Use
Back to Top