DocumentCode :
2087043
Title :
Improved signal extraction from fluorescence immunoassay image sequences
Author :
Mahanti, Prasun ; Taylor, Thomas ; Cochran, Douglas ; Hayes, Mark ; Petkus, Mathew
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ
fYear :
2008
fDate :
26-29 Oct. 2008
Firstpage :
1975
Lastpage :
1978
Abstract :
A recently developed dynamic fluorescence immunoassay for the biomarker Myoglobin promises to provide detection of myocardial infarction within minutes. Signal extraction for this method is based on epifluorescence video microscopy, but is confounded by inhomogeneous spatial gain, intensity inhomogeneity or IIH. We present here a novel adaptive correction method which estimates the IIH from a video image sequence. This estimated IIH may be used to correct the image signal extraction process. The enhancement to detection limits and consistency of estimated concentrations are quantified, based on an improvement to SNR of approximately 9 dB.
Keywords :
adaptive signal processing; biochemistry; blood; feature extraction; fluorescence; image sequences; medical image processing; video signal processing; adaptive correction method; biomarker myoglobin; epifluorescence video microscopy; fluorescence immunoassay; image signal extraction process; inhomogeneous spatial gain; intensity inhomogeneity; myocardial infarction; video image sequence; Data mining; Fluorescence; Image processing; Image segmentation; Image sequences; Immune system; Magnetic analysis; Sensor arrays; Signal processing; Surface fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2008 42nd Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2940-0
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2008.5074776
Filename :
5074776
Link To Document :
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