DocumentCode :
2631647
Title :
Performance Analysis of Quantifying Fluorescence of Target-Captured Microparticles from Microscopy Images
Author :
Sarder, Pinaki ; Nehorai, Arye
fYear :
2006
fDate :
12-14 July 2006
Firstpage :
289
Lastpage :
293
Abstract :
Fluorescence microscopy imaging is widely used in biomedical research, astronomical speckle imaging, remote sensing, positron-emission tomography, and many other applications. In companion papers P. Sarder and A. Nchorai, we developed a maximum likelihood (ML)-based image deconvolution technique to quantify fluorescence signals from a three-dimensional (3D) image of a target captured microparticle ensemble. We assumed both the additive Gaussian and Poisson statistics for the noise. Imaging is performed by using a confocal fluorescence microscope system. Potential application of microarray technology includes security, environmental monitoring, analyzing assays for DNA or protein targets, functional genomics, and drug development. We proposed a new parametric model of the fluorescence microscope 3D point-spread function (PSF) in terms of basis functions. In this paper, we present a performance analysis of the ML-based deconvolution techniques (P. Sarder and A. Nchorai) for both the noise models
Keywords :
Gaussian processes; fluorescence; image processing; maximum likelihood estimation; optical images; optical microscopy; 3D point-spread function; Poisson statistics; additive Gaussian; confocal fluorescence microscope system; image deconvolution technique; maximum likelihood technique; microscopy images; quantifying fluorescence; target-captured microparticles; three-dimensional image; Additive noise; Biomedical imaging; Deconvolution; Fluorescence; Microscopy; Parametric statistics; Performance analysis; Remote sensing; Speckle; Tomography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0308-1
Type :
conf
DOI :
10.1109/SAM.2006.1706139
Filename :
1706139
Link To Document :
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