3D Image Reconstruction from Multi-focus Microscopic Images

Takahiro Yamaguchi, Hajime Nagahara, Ken'ichi Morooka, Yuta Nakashima, Yuki Uranishi, Shoko Miyauchi, Ryo Kurazume

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a method for reconstructing 3D image from multi-focus microscopic images captured with different focuses. We model the multi-focus imaging by a microscopy and produce the 3D image of a target object based on the model. The 3D image reconstruction is done by minimizing the difference between the observed images and the simulated images generated by the imaging model. Simulation and experimental result shows that the proposed method can generate the 3D image of a transparent object efficiently and reliably.

Original languageEnglish
Title of host publicationImage and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers
EditorsJoel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul
PublisherSpringer
Pages73-85
Number of pages13
ISBN (Print)9783030397692
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019 - Sydney, Australia
Duration: Nov 18 2019Nov 22 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11994 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019
CountryAustralia
CitySydney
Period11/18/1911/22/19

Keywords

  • 3D imaging
  • Microscopy
  • Multi-focus images
  • Transparent object

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Yamaguchi, T., Nagahara, H., Morooka, K., Nakashima, Y., Uranishi, Y., Miyauchi, S., & Kurazume, R. (2020). 3D Image Reconstruction from Multi-focus Microscopic Images. In J. J. Dabrowski, A. Rahman, & M. Paul (Eds.), Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers (pp. 73-85). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11994 LNCS). Springer. https://doi.org/10.1007/978-3-030-39770-8_6