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Time-resolved Hyperspectral Single-pixel Camera Implementation for Compressive Wide-Field Fluorescence Lifetime Imaging
被引:3
作者:

Pian, Qi
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Rensselaer Polytech Inst, Dept Biomed Engn, 110 8th St, Troy, NY 12180 USA Rensselaer Polytech Inst, Dept Biomed Engn, 110 8th St, Troy, NY 12180 USA

Yao, Ruoyang
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Rensselaer Polytech Inst, Dept Biomed Engn, 110 8th St, Troy, NY 12180 USA Rensselaer Polytech Inst, Dept Biomed Engn, 110 8th St, Troy, NY 12180 USA

Intes, Xavier
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Rensselaer Polytech Inst, Dept Biomed Engn, 110 8th St, Troy, NY 12180 USA Rensselaer Polytech Inst, Dept Biomed Engn, 110 8th St, Troy, NY 12180 USA
机构:
[1] Rensselaer Polytech Inst, Dept Biomed Engn, 110 8th St, Troy, NY 12180 USA
来源:
MULTIMODAL BIOMEDICAL IMAGING XI
|
2016年
/
9701卷
关键词:
Time domain;
hyperspectral imaging;
single-pixel camera;
fluorescence lifetime imaging;
MOLECULAR TOMOGRAPHY;
MONTE-CARLO;
LIGHT;
ILLUMINATION;
MICROSCOPY;
CELLS;
D O I:
10.1117/12.2217686
中图分类号:
TH742 [显微镜];
学科分类号:
摘要:
Single-pixel imaging based on compressive sensing theory has been a highlighted technique in the biomedical imaging field for many years. This interest has been driven by the possibility of performing microscopic or macroscopic imaging based on low-cost detector arrays, increased SNR (signal-to-noise ratio) in the acquired data sets and the ability to perform high quality image reconstruction with compressed data sets by exploiting signal sparsity. In this work, we present our recent work in implementing this technique to perform time domain fluorescence-labeled investigations in preclinical settings. More precisely, we report on our time-resolved hyperspectral single-pixel camera for fast, wide-field mapping of molecular labels and lifetime-based quantification. The hyperspectral single-pixel camera implements a DMD (Digital micro-mirror device) to generate optical masks for modulating the illumination field before it is delivered onto the sample and focuses the emission light signals into a multi-anode hyperspectral time-resolved PMT (Photomultiplier tube) to acquire spatial, temporal and spectral information enriched 4-D data sets. Fluorescence dyes with lifetime and spectral contrast are embedded in well plates and thin tissues. L-1 norm based regularization or the least square method, is applied to solve the underdetermined inverse problem during image reconstruction. These experimental results prove the possibility of fast, wide-field mapping of fluorescent labels with lifetime and spectral contrast in thin media.
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Richard Dimbleby Department of Cancer, Research Division of Cancer Studies, New Hunt's House, Guy's Campus, King's College London, London Department of Physics, King's College London, Strand, London

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