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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2016-02-19
Compressive Sampling Multispectral Imaging and Unmixing Method for Fluorescent Imaging
By
Yamin Song,

    Dr. Yamin Song

    Zhejiang Key Laboratory of Sampling Technologies

    Zhejiang University

    China

    Homepage

Fuhong Cai,

    Dr. Fuhong Cai

    Mechanical and Electrical Engineering College

    Hainan University

    China

    Homepage

Julian Samuel Goodwin Evans,

    Dr. Julian Samuel Goodwin Evans

    Center for Optical and Electromagnetic Research

    Zhejiang University

    China

    Homepage

Erik Forsberg,

    Dr. Erik Forsberg

    Centre for Optical and Electromagnetic Research

    Zhejiang University

    China

    Homepage

Sailing He

    Prof. Sailing He

    Department of Electromagnetic Theory

    Royal Institute of Technology

    Sweden

    Homepage

Progress In Electromagnetics Research M, Vol. 46, 135-142, 2016
doi:10.2528/PIERM16011402 | Google Scholar

Abstract
Multispectral imaging is an important tool for understanding composite materials in many disciplines. Spectral unmixing enables the determination of individual fluorophore distributions. Due to the dispersive nature of biomaterials the observed spectra of fluorescent dyes is unknown. Spectral unmixing can be accomplished for unknown endmember spectra using minimum volume simplex analysis (MVSA). Compressive sampling (CS) is a method to reduce the computational cost of operating on sparse data sets and can be performed efficiently using NESTA based on Nesterov's algorithm. Here we demonstrate that NESTA and MVSA can be combined with a denoising threshold to create a compressive sampling and multispectral unmixing (CSMIU) method that enables efficient bioimaging and unmixing with high levels of accuracy (spectral angle distances (SADs) < 0.05). This CSMIU method may potentially enable broadband and in vivo bioimaging modalities.
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Citation
Yamin Song, Fuhong Cai, Julian Samuel Goodwin Evans, Erik Forsberg, and Sailing He, "Compressive Sampling Multispectral Imaging and Unmixing Method for Fluorescent Imaging," Progress In Electromagnetics Research M, Vol. 46, 135-142, 2016.
doi:10.2528/PIERM16011402
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