DocumentCode :
926088
Title :
Deconvolution methods for 3-D fluorescence microscopy images
Author :
Sarder, Pinaki ; Nehorai, Arye
Author_Institution :
Dept. of Electr. & Syst. Eng., Washington Univ., St. Louis, MO, USA
Volume :
23
Issue :
3
fYear :
2006
fDate :
5/1/2006 12:00:00 AM
Firstpage :
32
Lastpage :
45
Abstract :
This paper presents an overview of various deconvolution techniques of 3D fluorescence microscopy images. It describes the subject of image deconvolution for 3D fluorescence microscopy images and provides an overview of the distortion issues in different areas. The paper presents a brief schematic description of fluorescence microscope systems and provides a summary of the microscope point-spread function (PSF), which often creates the most severe distortion in the acquired 3D image. Finally, it discusses the ongoing research work in the area and provides a brief review of performance measures of 3D deconvolution microscopy techniques. It also provides a summary of the numerical results using simulated data and presents the results obtained from the real data.
Keywords :
biological techniques; biology computing; deconvolution; fluorescence; image processing; least squares approximations; optical images; optical microscopy; statistical analysis; 3D fluorescence microscopy images; deconvolution methods; image deconvolution; microscope point-spread function; Adaptive optics; Biomedical optical imaging; Deconvolution; Fluorescence; Microscopy; Optical computing; Optical distortion; Optical imaging; Optical noise; Optical sensors;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2006.1628876
Filename :
1628876
Link To Document :
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