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Separation of Transmitted Light and Scattering Components in Transmitted Microscopy

  • Mihoko Shimano
  • Ryoma Bise
  • Yinqiang Zheng
  • Imari Sato
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10434)

Abstract

In transmitted light microscopy, a specimen tends to be observed as unclear. This is caused by a phenomenon that an image sensor captures the sum of these scattered light rays traveled from different paths due to scattering. To cope with this problem, we propose a novel computational photography approach for separating directly transmitted light from the scattering light in a transmitted light microscope by using high-frequency lighting. We first investigated light paths and clarified what types of light overlap in transmitted light microscopy. The scattered light can be simply represented and removed by using the difference in observations between focused and unfocused conditions, where the high-frequency illumination becomes homogeneous. Our method makes a novel spatial multiple-spectral absorption analysis possible, which requires absorption coefficients to be measured in each spectrum at each position. Experiments on real biological tissues demonstrated the effectiveness of our method.

Keywords

Scattering Absorption Transmitted microscopy 

Notes

Acknowledgments

This work was funded by ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan).

References

  1. 1.
    Nayar, S.K., Krishnan, G., Grossberg, M.D., Raskar, R.: Fast separation of direct and global components of a scene using high frequency illumination. ACM Trans. Graph. 25(3), 935–944 (2006)CrossRefGoogle Scholar
  2. 2.
    Tanaka, K., Mukaigawa, Y., Kubo, H., Matsushita, Y., Yagi, Y.: Descattering of transmissive observation using parallel high-frequency illumination. In: IEEE Conference on Computational Photography (2013)Google Scholar
  3. 3.
    Lamond, B., Peers, P., Debevec, P.: Fast image-based separation of diffuse and specular reflections. In: ACM SIGGRAPH Sketches (2007)Google Scholar
  4. 4.
    Gupta, M., Tian, Y., Narasimhan, S.G., Zhang, L.: A combined theory of defocused illumination and global light transport. Int. J. Comput. Vis. 98(2), 146–167 (2012)CrossRefMathSciNetGoogle Scholar
  5. 5.
    Achar, S., Narasimhan, S.G.: Multi focus structured light for recovering scene shape and global illumination. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 205–219. Springer, Cham (2014). doi: 10.1007/978-3-319-10590-1_14 Google Scholar
  6. 6.
    Reinhard, E., Khan, E.A., Akyuz, A.O., Johnson, G.: Color Imaging: Fundamentals and Applications. CRC Press, Boca Raton (2008)Google Scholar
  7. 7.
    Tanaka, K., Mukaigawa, Y., Kubo, H., Matsushita, Y., Yagi, Y.: Recovering inner slices of translucent objects by multi-frequency illumination. In: IEEE Conference on CVPR 2015, pp. 5464–5472 (2015)Google Scholar
  8. 8.
    Salomatina, E., Jiang, B., Novak, J., Yaroslavsky, A.N.: Optical properties of normal and cancerous human skin in the visible and near-infrared spectral range. J. Biomed. Opt. 11(6), 064026 (2006)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Mihoko Shimano
    • 1
  • Ryoma Bise
    • 1
    • 2
  • Yinqiang Zheng
    • 1
  • Imari Sato
    • 1
  1. 1.National Institute of InformaticsTokyoJapan
  2. 2.Kyushu UniversityFukuokaJapan

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