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