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Blur Restoration of Confocal Microscopy with Depth and Horizontal Dependent PSF

  • Yuichi Morioka
  • Katsufumi Inoue
  • Michifumi Yoshioka
  • Masaru Teranishi
  • Takashi Murayama
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 801)

Abstract

Confocal microscopy is a popular technique for 3D imaging of biological specimens. Confocal microscopy images are degraded by residual out of focus light. Several restoration methods have been proposed to reduce these degradations. The major one is Richardson Lucy based deconvolution (RL). Even when employing this method images are still blurry. This is mainly caused due to spherical aberration that depends on the distance from lens. Hence, in the previous study, the restoration method is taking only the depth direction into account. In this paper, predicting PSF more correctly, an image restoring method using RL method and Point Spread Function that is considered based on the depth and horizontal effect of direction, is proposed.

Keywords

Depth and horizontal dependant point spread function Richardson Lucy method Confocal microscope 

References

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Yuichi Morioka
    • 1
  • Katsufumi Inoue
    • 1
  • Michifumi Yoshioka
    • 1
  • Masaru Teranishi
    • 2
  • Takashi Murayama
    • 3
  1. 1.Osaka Prefecture UniversitySakaiJapan
  2. 2.Hiroshima Institute of TechnologyHiroshimaJapan
  3. 3.Juntendo UniversityTokyoJapan

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