EPFL
 Biomedical Imaging GroupSTI
EPFL
  Publications
English only   BIG > Publications > 2.5-D Deconvolution


 CONTENTS
 Home Page
 News & Events
 People
 Publications
 Tutorials and Reviews
 Research
 Demos
 Download Algorithms

 DOWNLOAD
 PDF
 Postscript
 All BibTeX References

Model-Based 2.5-D Deconvolution for Extended Depth of Field in Brightfield Microscopy

F. Aguet, D. Van De Ville, M. Unser

IEEE Transactions on Image Processing, vol. 17, no. 7, pp. 1144-1153, July 2008.



Due to the limited depth of field of brightfield microscopes, it is usually impossible to image thick specimens entirely in focus. By optically sectioning the specimen, the in-focus information at the specimen's surface can be acquired over a range of images. Commonly based on a high-pass criterion, extended-depth- of-field methods aim at combining the in-focus information from these images into a single image of the texture on the specimen's surface. The topography provided by such methods is usually limited to a map of selected in-focus pixel positions and is inherently discretized along the axial direction, which limits its use for quantitative evaluation. In this paper,we propose a method that jointly estimates the texture and topography of a specimen from a series of brightfield optical sections; it is based on an image formation model that is described by the convolution of a thick specimen model with the microscope's point spread function. The problem is stated as a least-squares minimization where the texture and topography are updated alternately. This method also acts as a deconvolution when the in-focus PSF has a blurring effect, or when the true in-focus position falls in between two optical sections. Comparisons to state-of-the-art algorithms and experimental results demonstrate the potential of the proposed approach.


@ARTICLE(http://bigwww.epfl.ch/publications/aguet0802.html,
AUTHOR="Aguet, F. and Van De Ville, D. and Unser, M.",
TITLE="Model-Based {2.5-D} Deconvolution for Extended Depth of Field in
        Brightfield Microscopy",
JOURNAL="{IEEE} Transactions on Image Processing",
YEAR="2008",
volume="17",
number="7",
pages="1144--1153",
month="July",
note="")

© 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.