3D Image Reconstruction from Multi-focus Microscopic Images

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

doi:10.1007/978-3-030-39770-8_6

3D Image Reconstruction from Multi-focus Microscopic Images

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

Real world robotics

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers
Editors	Joel Janek Dabrowski, Ashfaqur Rahman, Manoranjan Paul
Publisher	Springer
Pages	73-85
Number of pages	13
ISBN (Print)	9783030397692
DOIs	https://doi.org/10.1007/978-3-030-39770-8_6
Publication status	Published - Jan 1 2020
Event	9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019 - Sydney, Australia Duration: Nov 18 2019 → Nov 22 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11994 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019
Country/Territory	Australia
City	Sydney
Period	11/18/19 → 11/22/19

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-39770-8_6

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

3D Image Reconstruction from Multi-focus Microscopic Images. / Yamaguchi, Takahiro; Nagahara, Hajime; Morooka, Ken'ichi et al.
Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers. ed. / Joel Janek Dabrowski; Ashfaqur Rahman; Manoranjan Paul. Springer, 2020. p. 73-85 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11994 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yamaguchi, T, Nagahara, H, Morooka, K, Nakashima, Y, Uranishi, Y, Miyauchi, S & Kurazume, R 2020, 3D Image Reconstruction from Multi-focus Microscopic Images. in JJ Dabrowski, A Rahman & M Paul (eds), Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11994 LNCS, Springer, pp. 73-85, 9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019, Sydney, Australia, 11/18/19. https://doi.org/10.1007/978-3-030-39770-8_6

Yamaguchi T, Nagahara H, Morooka K, Nakashima Y, Uranishi Y, Miyauchi S et al. 3D Image Reconstruction from Multi-focus Microscopic Images. In Dabrowski JJ, Rahman A, Paul M, editors, Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers. Springer. 2020. p. 73-85. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-39770-8_6

Yamaguchi, Takahiro ; Nagahara, Hajime ; Morooka, Ken'ichi et al. / 3D Image Reconstruction from Multi-focus Microscopic Images. Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers. editor / Joel Janek Dabrowski ; Ashfaqur Rahman ; Manoranjan Paul. Springer, 2020. pp. 73-85 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{c20d00ddd0c94c1e8948aed8b6276907,

title = "3D Image Reconstruction from Multi-focus Microscopic Images",

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.",

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

note = "Funding Information: Acknowledgements. This work was supported by JST CREST Grant JPMJCR1786 and JSPS KAKENHI Grant number 19H04139, Japan. Funding Information: Supported by JST CREST Grant Number JPMJCR1786 and JSPS KAKENHI Grant Number JP19H04139, Japan. Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019 ; Conference date: 18-11-2019 Through 22-11-2019",

year = "2020",

month = jan,

day = "1",

doi = "10.1007/978-3-030-39770-8_6",

language = "English",

isbn = "9783030397692",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "73--85",

editor = "Dabrowski, {Joel Janek} and Ashfaqur Rahman and Manoranjan Paul",

booktitle = "Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers",

}

TY - GEN

T1 - 3D Image Reconstruction from Multi-focus Microscopic Images

AU - Yamaguchi, Takahiro

AU - Nagahara, Hajime

AU - Morooka, Ken'ichi

AU - Nakashima, Yuta

AU - Uranishi, Yuki

AU - Miyauchi, Shoko

AU - Kurazume, Ryo

N1 - Funding Information: Acknowledgements. This work was supported by JST CREST Grant JPMJCR1786 and JSPS KAKENHI Grant number 19H04139, Japan. Funding Information: Supported by JST CREST Grant Number JPMJCR1786 and JSPS KAKENHI Grant Number JP19H04139, Japan. Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020/1/1

Y1 - 2020/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85080926124&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85080926124&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-39770-8_6

DO - 10.1007/978-3-030-39770-8_6

M3 - Conference contribution

AN - SCOPUS:85080926124

SN - 9783030397692

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 73

EP - 85

BT - Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers

A2 - Dabrowski, Joel Janek

A2 - Rahman, Ashfaqur

A2 - Paul, Manoranjan

PB - Springer

T2 - 9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019

Y2 - 18 November 2019 through 22 November 2019

ER -

3D Image Reconstruction from Multi-focus Microscopic Images

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this