Improved signal extraction from fluorescence immunoassay image sequences

Prasun Mahanti; Thomas Taylor; Douglas Cochran; Mark Hayes; Mathew Petkus

doi:10.1109/ACSSC.2008.5074776

Improved signal extraction from fluorescence immunoassay image sequences

Prasun Mahanti, Thomas Taylor, Douglas Cochran, Mark Hayes, Mathew Petkus

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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.

Original language	English (US)
Title of host publication	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Pages	1975-1978
Number of pages	4
DOIs	https://doi.org/10.1109/ACSSC.2008.5074776
State	Published - Dec 1 2008
Event	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States Duration: Oct 26 2008 → Oct 29 2008

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers

Other

Other	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Country/Territory	United States
City	Pacific Grove, CA
Period	10/26/08 → 10/29/08

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

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10.1109/ACSSC.2008.5074776

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Mahanti, P., Taylor, T., Cochran, D., Hayes, M., & Petkus, M. (2008). Improved signal extraction from fluorescence immunoassay image sequences. In 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 (pp. 1975-1978). Article 5074776 (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2008.5074776

Improved signal extraction from fluorescence immunoassay image sequences. / Mahanti, Prasun; Taylor, Thomas ; Cochran, Douglas et al.
2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008. 2008. p. 1975-1978 5074776 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mahanti, P, Taylor, T , Cochran, D , Hayes, M & Petkus, M 2008, Improved signal extraction from fluorescence immunoassay image sequences. in 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008., 5074776, Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 1975-1978, 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008, Pacific Grove, CA, United States, 10/26/08. https://doi.org/10.1109/ACSSC.2008.5074776

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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.",

author = "Prasun Mahanti and Thomas Taylor and Douglas Cochran and Mark Hayes and Mathew Petkus",

year = "2008",

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doi = "10.1109/ACSSC.2008.5074776",

language = "English (US)",

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AB - 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.

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BT - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008

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ER -

Improved signal extraction from fluorescence immunoassay image sequences

Abstract

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