@inproceedings{e6eef35fe3d347b6ad99ab0fcb0aed0f,
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.",
keywords = "3D imaging, Microscopy, Multi-focus images, Transparent object",
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",
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",
}