| 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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| PDF Download Page |  PDF download Page Link |
| 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 |
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| 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 |
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| 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) |