Spectroscopic stimulated Raman scattering imaging of highly dynamic specimens through matrix completion

Haonan Lin; Chien-Sheng Liao; Pu Wang; Nan Kong; Ji-Xin Cheng

doi:10.1038/lsa.2017.179

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Spectroscopic stimulated Raman scattering imaging of highly dynamic specimens through matrix completion

Original Articles

- Spectroscopic stimulated Raman scattering imaging of highly dynamic specimens through matrix completion
- Light: Science & Applications Vol. 7, Issue 3, (2018)
- Affiliations：
  
  1.Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
  2.Department of Electrical & Computer Engineering, Boston University, Boston, MA 02215, USA
  3.Vibronix, Inc., West Lafayette, IN 47907, USA
  4.Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA
- Author bio：
  
  N Kong, Email: nkong@purdue.edu
  J-X Cheng, Email: jxcheng@bu.edu
- Funds：
- DOI：10.1038/lsa.2017.179
  CLC：
- Published：2018，
  
  Published Online：04 May 2018，
  
  Received：04 October 2017，
  
  Revised：23 December 2017，
  
  Accepted：24 December 2017
- Accepted：
Scan QR Code
Lin, H. N. et al. Spectroscopic stimulated Raman scattering imaging of highly dynamic specimens through matrix completion. Light: Science & Applications, 7, 17179 (2018).
DOI：

Lin, H. N. et al. Spectroscopic stimulated Raman scattering imaging of highly dynamic specimens through matrix completion. Light: Science & Applications, 7, 17179 (2018). DOI： 10.1038/lsa.2017.179.

摘要

Abstract

Spectroscopic stimulated Raman scattering (SRS) imaging generates chemical maps of intrinsic molecules

with no need for prior knowledge. Despite great advances in instrumentation

the acquisition speed for a spectroscopic SRS image stack is fundamentally bounded by the pixel integration time. In this work

we report three-dimensional sparsely sampled spectroscopic SRS imaging that measures ~20% of pixels throughout the stack. In conjunction with related work in low-rank matrix completion (e.g.

the Netflix Prize)

we develop a regularized non-negative matrix factorization algorithm to decompose the sub-sampled image stack into spectral signatures and concentration maps. This design enables an acquisition speed of 0.8 s per image stack

with 50 frames in the spectral domain and 40

000 pixels in the spatial domain

which is faster than the conventional raster laser-scanning scheme by one order of magnitude. Such speed allows real-time metabolic imaging of living fungi suspended in a growth medium while effectively maintaining the spatial and spectral resolutions. This work is expected to promote broad application of matrix completion in spectroscopic laser-scanning imaging.

关键词

Keywords

optical microscopyRaman scatteringvibrational spectroscopy

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