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Proceedings Paper

Unmixing multiple markers with spectral lifetime measurements
Author(s): Krenar Tasimi; Xavier Intes; Badrinath Roysam
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Paper Abstract

Multispectral imaging is extensively used to multiplex the labeling of tissue features for diagnostic purposes. This technique enables multiple biomarkers with overlapping spectra to be distinguished using unmixing algorithms. However, spectral information alone is sometimes not sufficient enough to obtain perfect fluorochrome separation. By collecting time-resolved multispectral data containing a fluorescence decay time-series at each wavelength, the added temporal information can be used along with the spectral measurements as an additional distinguishing factor between the different dyes. A monoexponential decay model is used to segment the image into pure and mixed pixels based on the fit residuals. Using this information, the lifetimes and spectra of the dyes are retrieved using a global parameter estimation model within the segmented regions. The image is unmixed using the retrieved spectra and lifetimes of the individual components.

Paper Details

Date Published: 20 February 2009
PDF: 7 pages
Proc. SPIE 7171, Multimodal Biomedical Imaging IV, 717112 (20 February 2009); doi: 10.1117/12.822555
Show Author Affiliations
Krenar Tasimi, Rensselaer Polytechnic Institute (United States)
Xavier Intes, Rensselaer Polytechnic Institute (United States)
Badrinath Roysam, Rensselaer Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 7171:
Multimodal Biomedical Imaging IV
Fred S. Azar; Xavier Intes, Editor(s)

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