Paper
20 February 2009 Unmixing multiple markers with spectral lifetime measurements
Krenar Tasimi, Xavier Intes, Badrinath Roysam
Author Affiliations +
Proceedings Volume 7171, Multimodal Biomedical Imaging IV; 717112 (2009) https://doi.org/10.1117/12.822555
Event: SPIE BiOS, 2009, San Jose, California, United States
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.
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Krenar Tasimi, Xavier Intes, and Badrinath Roysam "Unmixing multiple markers with spectral lifetime measurements", Proc. SPIE 7171, Multimodal Biomedical Imaging IV, 717112 (20 February 2009); https://doi.org/10.1117/12.822555
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KEYWORDS
Dysprosium

Image segmentation

Computer simulations

Luminescence

Diagnostics

Multispectral imaging

Tissues

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