Multiplexed fluorescence tomography with spectral and temporal data: demixing with intrinsic regularization

Biomedical Optics Express
Vivian PeraMark Niedre

Abstract

We consider the joint use of spectral and temporal data for multiplexed fluorescence molecular tomography to enable high-throughput imaging of multiple fluorescent targets in bulk tissue. This is a challenging problem due to the narrow near-infrared diagnostic window and relatively broad emission spectra of common fluorophores, and the distortion ("redshift") that the fluorophore signals undergo as they propagate through tissue. We show through a Cramér-Rao lower bound analysis that demixing with spectral-temporal data could result in an order of magnitude improvement in performance over either modality alone. To cope with the resulting large data set, we propose a novel two-stage algorithm that decouples the demixing and tomographic reconstruction operations. In this work we concentrate on the demixing stage. We introduce an approach which incorporates ideas from sparse subspace clustering and compressed sensing and does not require a regularization parameter. We report on simulations in which we simultaneously demixed four fluorophores with closely overlapping spectral and temporal profiles in a 25 mm diameter cross-sectional area with a root-mean-square error of less than 3% per fluorophore, as well as on studies of sensitiv...Continue Reading

References

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Nov 19, 2008·Proceedings of the National Academy of Sciences of the United States of America·Mark J NiedreVasilis Ntziachristos
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Feb 8, 2014·Journal of Biomedical Optics·Vivian PeraMark Niedre
Apr 3, 2014·Optics Letters·Steven S HouAnand T N Kumar

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Citations

Oct 5, 2016·Journal of Biomedical Optics·Ying MuMark Niedre
Feb 6, 2018·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Zitong WuXiaowei He
Nov 15, 2016·Optics Letters·Steven S HouAnand T N Kumar
Sep 5, 2018·Visual Computing for Industry, Biomedicine and Art·Yu AnJie Tian

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