Skip to main content

Digital holography-assisted 3-D bright-field image reconstruction and refocusing

Abstract

We propose an image reconstruction technique of a color 3-D object to perform image refocusing by combining information from bright-field image and digital holography. The key concept is first to reconstruct the 3-D object using compressive holography. Next, a binary mask is created to separate objects and transparent voxels. Then, the mask is used to assist the 3-D color object reconstruction from a bright-field image. Finally, image refocusing can be performed by convolving the 3-D object with an incoherent point spread function. We demonstrated the proposed method by conducting a simulation of two different objects. In both simulations, the reconstructed objects give good agreement with ground truth.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

References

  1. Levoy, M., Ng, R., Adams, A., et al.: Light field microscopy. ACM Trans. Graph. 25, 924–934 (2006)

    Google Scholar 

  2. Kemper, B., von Bally, G.: Digital holographic microscopy for live cell applications and technical inspection. Appl. Opt. 47, 52–61 (2008)

    Google Scholar 

  3. Norazman, S.H.B., Nakamura, T., Kimura, F., Yamaguchi, M.: Analysis of quantitative phase obtained by digital holography on H&E-stained pathological samples. Artif. Life. Rob. 24, 38–43 (2019)

    Google Scholar 

  4. Pavillon, N., Kühn, J., Moratal, C., et al.: Early cell death detection with digital holographic microscopy. PLoS ONE 7, 1 (2012)

    Google Scholar 

  5. Quan, X., Nitta, K., Matoba, O., et al.: Phase and fluorescence imaging by combination of digital holographic microscopy and fluorescence microscopy. Opt. Rev. 22, 349–353 (2015)

    Google Scholar 

  6. Wu, Y., Luo, Y., Chaudhari, G., et al.: Bright-field holography: cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologram. Light Sci. Appl. 8, 25 (2019)

    ADS  Google Scholar 

  7. Montfort, F., Charrière, F., Colomb, T., et al.: Purely numerical compensation for microscope objective phase curvature in digital holographic microscopy: influence of digital phase mask position. J. Opt. Soc. Am. A 23, 2944–2953 (2006)

    ADS  Google Scholar 

  8. Brady, D.J., Choi, K., Marks, D.L., Horisaki, R., Lim, S.: Compressive holography. Opt. Express 17, 13040–13049 (2009)

    ADS  Google Scholar 

  9. Bioucas-Dias, J.M., Figueiredo, M.A.T.: A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration. IEEE Trans. Image Process. 16, 2992–3004 (2007)

    ADS  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Syukran Hakim Bin Norazman.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (MP4 1898 kb)

Supplementary file2 (MP4 2438 kb)

Supplementary file3 (AVI 359 kb)

Supplementary file4 (AVI 403 kb)

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Norazman, S.H.B., Nakamura, T. & Yamaguchi, M. Digital holography-assisted 3-D bright-field image reconstruction and refocusing. Opt Rev 27, 455–464 (2020). https://doi.org/10.1007/s10043-020-00615-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10043-020-00615-7