Presentation 2018-06-13
3D Super Resolution Microscopy using Convolutional Neural Network
Masaru Tanaka, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Super-resolution microscopy is a microscopy technique with a resolution beyond the diffraction limit of light. Despite the recent advancement, there are no techniques for real-time visualization of 3D structures. Using Convolutional Neural Network which has received much attention in the field of image recognition in recent years, we developed a 3D Super-resolution method. We confirmed the proposed method can visualize 3D structures in real time with 20~nm resolution.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) 3D Super-resolution microscopy / Convolutional Neural Network / Single Molecule Fluorescence / Sparse Coding / Live Imaging / Multiplane Imaging
Paper # IBISML2018-11
Date of Issue 2018-06-06 (IBISML)

Conference Information
Committee NC / IBISML / IPSJ-BIO / IPSJ-MPS
Conference Date 2018/6/13(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Okinawa Institute of Science and Technology
Topics (in Japanese) (See Japanese page)
Topics (in English) Machine Learning Approach to Biodata Mining, and General
Chair Yutaka Hirata(Chubu Univ.) / Hisashi Kashima(Kyoto Univ.)
Vice Chair Hayaru Shouno(UEC) / Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo)
Secretary Hayaru Shouno(Nagoya Univ.) / Masashi Sugiyama(NAIST) / Koji Tsuda(Nagoya Inst. of Tech.) / (AIST)
Assistant Keiichiro Inagaki(Chubu Univ.) / Takashi Shinozaki(NICT) / Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Bioinformatics and Genomics / Special Interest Group on Mathematical Modeling and Problem Solving
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) 3D Super Resolution Microscopy using Convolutional Neural Network
Sub Title (in English)
Keyword(1) 3D Super-resolution microscopy
Keyword(2) Convolutional Neural Network
Keyword(3) Single Molecule Fluorescence
Keyword(4) Sparse Coding
Keyword(5) Live Imaging
Keyword(6) Multiplane Imaging
1st Author's Name Masaru Tanaka
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Hideitsu Hino
2nd Author's Affiliation The Institute of Statistical Mathematics(ISM)
3rd Author's Name Shigeyuki Namiki
3rd Author's Affiliation The University of Tokyo(The Univ. of Tokyo)
4th Author's Name Daisuke Asanuma
4th Author's Affiliation The University of Tokyo(The Univ. of Tokyo)
5th Author's Name Kenzo Hirose
5th Author's Affiliation The University of Tokyo(The Univ. of Tokyo)
6th Author's Name Noboru Murata
6th Author's Affiliation Waseda University(Waseda Univ.)
Date 2018-06-13
Paper # IBISML2018-11
Volume (vol) vol.118
Number (no) IBISML-81
Page pp.pp.75-80(IBISML),
#Pages 6
Date of Issue 2018-06-06 (IBISML)