Reconstruction enhancement via projection screening in holographic tomography

Authors

  • Piotr Machnio Warsaw University of Technology, Institute of Micromechanics and Photonics, Św. A. Boboli 8 st., 02-525 Warsaw, Poland
  • Michał Ziemczonok Warsaw University of Technology, Institute of Micromechanics and Photonics, Św. A. Boboli 8 st., 02-525 Warsaw, Poland http://orcid.org/0000-0002-4802-1105
  • Małgorzata Kujawińska Warsaw University of Technology, Institute of Micromechanics and Photonics, Św. A. Boboli 8 st., 02-525 Warsaw, Poland http://orcid.org/0000-0001-6521-6951

DOI:

https://doi.org/10.4302/plp.v13i2.1104

Abstract

This paper presents an algorithm for automatic detection of erroneous amplitude and phase components of a sample’s optical field, acquired by a holographic tomograph with a limited angle of projection. By applying image processing methods and statistical analysis to find and remove unfit projections, the quality of tomographic reconstruction of a 3D refractive index distribution of an object is greatly improved. The proposed methods can find their application in preprocessing of data in holographic tomography.

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References
  1. A. Kuś, W. Krauze, P. L. Makowski, and M. Kujawińska, "Holographic tomography: hardware and software solutions for 3D quantitative biomedical imaging (Invited paper)", ETRI Journal, 41, 1 (2019). CrossRef
  2. V. Balasubramani et al., "Phase unwrapping in ICF target interferometric measurement via deep learning", Appl. Opt., 60, 10 (2021). CrossRef
  3. Y. Park, C. Depeursinge, and G. Popescu, "Quantitative phase imaging in biomedicine", Nature Photonics, 12, 10 (2018). CrossRef
  4. W. Krauze, P. Makowski, M. Kujawińska, and A. Kuś, "Generalized total variation iterative constraint strategy in limited angle optical diffraction tomography", Opt. Express, 24, 5 (2016). CrossRef
  5. D. Ryu et al., "Deep learning-based optical field screening for robust optical diffraction tomography", Sci Rep, 9, 1 (2019). CrossRef
  6. B. S. Lipkin, Picture Processing and Psychopictorics. (Saint Louis, Elsevier Science 2014). DirectLink
  7. A. M. Taddese, N. Verrier, M. Debailleul, J.-B. Courbot, and O. Haeberlé, "Optimizing sample illumination scanning in transmission tomographic diffractive microscopy", Appl. Opt., 60, 6 (2021). CrossRef

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Published

2021-06-30

How to Cite

[1]
P. Machnio, M. Ziemczonok, and M. Kujawińska, “Reconstruction enhancement via projection screening in holographic tomography”, Photonics Lett. Pol., vol. 13, no. 2, pp. 37–39, Jun. 2021.

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Articles