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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Digital Holographic Microscopy with extended field of view using tool for generic image stitching

  • Stepien, Piotr (Warsaw University of Technology, Institute of Micromechanics and Photonics) ;
  • Korbuszewski, Damian (Warsaw University of Technology, Institute of Micromechanics and Photonics) ;
  • Kujawinska, Malgorzata (Warsaw University of Technology, Institute of Micromechanics and Photonics)
  • Received : 2018.09.06
  • Accepted : 2018.12.03
  • Published : 2019.02.12
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Abstract

This paper describes in detail the processing path leading to successful phase images stitching in digital holographic microscope for the extension of the field of view. It applies FIJI Grid/Collection Stitching Plugin, which is a general tool for images stitching, non-specific for phase images. The FIJI plugin is extensively supported by aberration and phase offset correction. Comparative analysis of different aberration correction methods and data processing strategies is presented, together with the critical analysis of their applicability. The proposed processing path provides good background for statistical phase analysis of cell cultures and digital phase pathology.

Keywords

References

  1. M. K. Kim, Principles and techniques of digital holographic microscopy, SPIE Rev. 1 (2010), no. 1, 018005.
  2. B. Kemper and G. von Bally, Digital holographic microscopy for live cell applications and technical inspection, Appli.Opt. 47 (2008), no. 4, A52-A61. https://doi.org/10.1364/AO.47.000A52
  3. S. Al-Janabi, A. Huisman, and P. J. Van Diest, Digital pathology: current status and future perspectives, Histopathology 61 (2012), no. 1, 1-9.
  4. O. Ordi et al., Virtual microscopy in the undergraduate teaching of pathology, J. Pathol. Inform. 6 (2015), 1. https://doi.org/10.4103/2153-3539.150246
  5. A. Greenbaum et al., Increased space-bandwidth product in pixel super-resolved lensfree on-chip microscopy, Sci. Rep. 3 (2013), 1717. https://doi.org/10.1038/srep01717
  6. G. Zheng et al., Sub-pixel resolving optofluidic microscope for on-chip cell imaging, Lab Chip 10 (2010), no. 22, 3125-3129. https://doi.org/10.1039/c0lc00213e
  7. J. M. Rodenburg and R. H. T. Bates, The theory of superresolution electron microscopy via wigner-distribution deconvolution, Phil. Trans. R. Soc. Lond. A 339 (1992), no. 1655, 521-553. https://doi.org/10.1098/rsta.1992.0050
  8. G. Zheng, R. Horstmeyer, and C. Yang, Wide-field, high-resolution fourier ptychographic microscopy, Nat. Photonics 7 (2013), no. 9, 739. https://doi.org/10.1038/nphoton.2013.187
  9. Philips intellisite ultra fast scanner, available at https://www.philips.co.uk/healthcare/product/hcnoctn442/intellisite-ultra-fast-scanner.
  10. P. L. Makowski et al., Synthetic aperture fourier holography for wide-angle holographic display of real scenes, Appl. Opt. 54 (2015), no. 12, 3658-3665. https://doi.org/10.1364/AO.54.003658
  11. P. Sidorenko and O. Cohen Single-shot ptychography, Optica 3 (2016), no. 1, 9-14. https://doi.org/10.1364/OPTICA.3.000009
  12. W. Zhou et al., Study on phase stitching technique on digital holography, Digital Holography and Three-Dimensional Imaging, Optical Society of America, 2009, pp. DWB23.
  13. Y. Wen et al., Further investigation on the phase stitching and system errors in digital holography, Appl. Opt. 54 (2015), no. 2, 266-276. https://doi.org/10.1364/AO.54.000266
  14. S. Preibisch, S. Saalfeld, and P. Tomancak, Globally optimal stitching of tiled 3d microscopic image acquisitions, Bioinformatics 25 (2009), no. 11, 1463-1465. https://doi.org/10.1093/bioinformatics/btp184
  15. M. Takeda, H. Ina, and S. Kobayashi, Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry, J. Opt. Soc. Ame. 72 (1982), no. 1, 156-160. https://doi.org/10.1364/JOSA.72.000156
  16. M. A. Herraez et al., Fast two-dimensional phase-unwrapping algorithm based on sorting by reliability following a noncontinuous path, Appl. Opt. 41 (2002), no. 35, 7437-7444. https://doi.org/10.1364/AO.41.007437
  17. P. Stępien et al., Multi-modal quantitative analysis of hela cells using digital holographic microscopy and confocal laser scanning microscopy, Int. Conf. Speckle Metrology, Janow Podlaski, Poland, Sept. 10-12, 2018, pp. 108341V:1-7.
  18. P. Ferraro et al., Compensation of the inherent wave front curvature in digital holographic coherent microscopy for quantitative phase-contrast imaging, Appl. Opt. 42 (2003), no. 11, 1938-1946. https://doi.org/10.1364/AO.42.001938
  19. Y. Liu, Z. Wang, and J. Huang, Recent progress on aberration compensation and coherent noise suppression in digital holography, Appl. Sci. 8 (2018), no. 3, 444. https://doi.org/10.3390/app8030444
  20. J. Di et al., Phase aberration compensation of digital holographic microscopy based on least squares surface fitting, Optics Commun. 282 (2009), no. 19, 3873-3877. https://doi.org/10.1016/j.optcom.2009.06.049
  21. C. Zuo et al., Phase aberration compensation in digital holographic microscopy based on principal component analysis, Opt. Lett. 38 (2013), no. 10, 1724-1726. https://doi.org/10.1364/OL.38.001724
  22. M. Trusiak, M. Wielgus, and K. Patorski, Advanced processing of optical fringe patterns by automated selective reconstruction and enhanced fast empirical mode decomposition, Opt. Lasers Eng. 52 (2014), 230-240. https://doi.org/10.1016/j.optlaseng.2013.06.003
  23. Z. Wang et al., Image quality assessment: from error visibility to structural similarity, IEEE Trans. Image Process. 13 (2004), no. 4, 600-612. https://doi.org/10.1109/TIP.2003.819861

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