| Presentation | 2018-06-13 Cell detection from large imaging data Tsubasa Itoh, Keisuke Ota, Yasuhiro Oisi, Masanori Murayama, Toru Aonishi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The rapid progress of large scale calcium imaging method enables to record tens of thousands of cells simultaneously. However, the extreme increase in amount of multi-cellular activity data makes us face with a difficult of manual analysis. Consequently, demand for analysis it automatically is increasing. Especially, how to realize the automatic cell detection with fast and accuracy is the challenge. Recently, some research groups proposed automatic cell detection using machine learning methods. But those methods are difficult to process large-scale imaging data from the super wide field microscope developed in recent years in practical time. Therefore, we developed low-computational cost cell detection (LCCD) algorithm which is can process it in practical time. We compare LCCD with previous method: constrained Non-negative matrix factorization and Suite2p. The performance of the LCCD is almost comparable with other famous algorithms. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | calcium imaging / automatic cell detection |
| Paper # | NC2018-5 |
| Date of Issue | 2018-06-06 (NC) |
| 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) | Cell detection from large imaging data |
| Sub Title (in English) | |
| Keyword(1) | calcium imaging |
| Keyword(2) | automatic cell detection |
| 1st Author's Name | Tsubasa Itoh |
| 1st Author's Affiliation | Tokyo institute of technology(Tokyo Tech) |
| 2nd Author's Name | Keisuke Ota |
| 2nd Author's Affiliation | RIKEN Brain Science Institute(RIKEN) |
| 3rd Author's Name | Yasuhiro Oisi |
| 3rd Author's Affiliation | RIKEN Brain Science Institute(RIKEN) |
| 4th Author's Name | Masanori Murayama |
| 4th Author's Affiliation | RIKEN Brain Science Institute(RIKEN) |
| 5th Author's Name | Toru Aonishi |
| 5th Author's Affiliation | Tokyo institute of technology(Tokyo Tech) |
| Date | 2018-06-13 |
| Paper # | NC2018-5 |
| Volume (vol) | vol.118 |
| Number (no) | NC-80 |
| Page | pp.pp.1-1(NC), |
| #Pages | 1 |
| Date of Issue | 2018-06-06 (NC) |