Coding Scheme Optimization for Fast Fluorescence Lifetime Imaging

被引:1
|
作者
Lee, Jongho [1 ,2 ]
Chacko, Jenu Varghese [1 ,3 ]
Dai, Bing [1 ,3 ]
Reza, Syed Azer [1 ,4 ]
Sagar, Abdul Kader [1 ,3 ]
Eliceiri, Kevin W. [1 ,3 ]
Velten, Andreas [1 ,4 ]
Gupta, Mohit [1 ,2 ]
机构
[1] Univ Wisconsin Madison, Madison, WI 53706 USA
[2] UW Madison, Dept Comp Sci, 1210 W Dayton St, Madison, WI 53706 USA
[3] UW Madison, Lab Opt & Computat Instrumentat, 1675 Observ Dr, Madison, WI 53706 USA
[4] UW Madison, 1300 Univ Ave,Med Sci Bldg, Madison, WI 53706 USA
来源
ACM TRANSACTIONS ON GRAPHICS | 2019年 / 38卷 / 03期
关键词
Fluorescence lifetime; coding optimization; waveform optimization; time-of-flight; FREQUENCY-DOMAIN; SPECTROSCOPY; MICROSCOPY; CLASSIFICATION; FINGERPRINTS; RESOLUTION; SENSORS; PARAFAC; STATE;
D O I
10.1145/3325136
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Fluorescence lifetime imaging (FLIM) is used for measuring material properties in a wide range of applications, including biology, medical imaging, chemistry, and material science. In frequency-domain FLIM (FD-FLIM), the object of interest is illuminated with a temporally modulated light source. The fluorescence lifetime is measured by computing the correlations of the emitted light with a demodulation function at the sensor. The signal-to-noise ratio (SNR) and the acquisition time of a FD-FLIM system is determined by the coding scheme (modulation and demodulation functions). In this article, we develop theory and algorithms for designing high-performance FD-FLIM coding schemes that can achieve high SNR and short acquisition time, given a fixed source power budget. Based on a geometric analysis of the image formation and noise model, we propose a novel surrogate objective for the performance of a given coding scheme. The surrogate objective is extremely fast to compute, and can be used to efficiently explore the entire space of coding schemes. Based on this objective, we design novel, high-performance coding schemes that achieve up to an order of magnitude shorter acquisition time as compared to existing approaches. We demonstrate the performance advantage of the proposed schemes in a variety of imaging conditions, using a modular hardware prototype that can implement various coding schemes.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Fast data fitting scheme for compressive multispectral fluorescence lifetime imaging
    Ghezzi, Alberto
    Farina, Andrea
    Vurro, Vito
    Bassi, Andrea
    Valentini, Gianluca
    D'andrea, Cosimo
    OPTICS LETTERS, 2024, 49 (02) : 278 - 281
  • [2] Fluorescence lifetime-resolved imaging
    Chen, Yi-Chun
    Clegg, Robert M.
    PHOTOSYNTHESIS RESEARCH, 2009, 102 (2-3) : 143 - 155
  • [3] Wide-field fluorescence lifetime imaging of cancer
    McGinty, James
    Galletly, Neil P.
    Dunsby, Chris
    Munro, Ian
    Elson, Daniel S.
    Requejo-Isidro, Jose
    Cohen, Patrizia
    Ahmad, Raida
    Forsyth, Amanda
    Thillainayagam, Andrew V.
    Neil, Mark A. A.
    French, Paul M. W.
    Stamp, Gordon W.
    BIOMEDICAL OPTICS EXPRESS, 2010, 1 (02): : 627 - 640
  • [4] Fluorescence lifetime imaging microscopy study of wood fibers
    Hafren, Jonas
    Oosterveld-Hut, Henderika M. J.
    JOURNAL OF WOOD SCIENCE, 2009, 55 (03) : 236 - 239
  • [5] Fast fluorescence lifetime imaging techniques: A review on challenge and development
    Liu, Xiongbo
    Lin, Danying
    Becker, Wolfgang
    Niu, Jingjing
    Yu, Bin
    Liu, Liwei
    Qu, Junle
    JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2019, 12 (05)
  • [6] Fast fit-free analysis of fluorescence lifetime imaging via deep learning
    Smith, Jason T.
    Yao, Ruoyang
    Sinsuebphon, Nattawut
    Rudkouskaya, Alena
    Un, Nathan
    Mazurkiewicz, Joseph
    Barroso, Margarida
    Yan, Pingkun
    Intes, Xavier
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 116 (48) : 24019 - 24030
  • [7] Combined fluorescence and phosphorescence lifetime imaging
    Shcheslavskiy, V. I.
    Neubauer, A.
    Bukowiecki, R.
    Dinter, F.
    Becker, W.
    APPLIED PHYSICS LETTERS, 2016, 108 (09)
  • [8] Fluorescence lifetime-resolved imaging
    Yi-Chun Chen
    Robert M. Clegg
    Photosynthesis Research, 2009, 102 : 143 - 155
  • [9] Fluorescence lifetime imaging of skin cancer
    Patalay, Rakesh
    Talbot, Clifford
    Munro, Ian
    Breunig, Hans Georg
    Koenig, Karsten
    Alexandrov, Yuri
    Warren, Sean
    Neil, Mark A. A.
    French, Paul M. W.
    Chu, Anthony
    Stamp, Gordon W.
    Dunsby, Chris
    PHOTONIC THERAPEUTICS AND DIAGNOSTICS VII, 2011, 7883
  • [10] Deep learning enhanced fast fluorescence lifetime imaging with a few photons
    Xiao, Dong
    Sapermsap, Natakorn
    Chen, Yu
    Li, David Day Uei
    OPTICA, 2023, 10 (07): : 944 - 951