| Presentation | 2022-07-08 [Short Paper] Automatic Cell Tracking in 4D Arabidopsis Root Microscopic Images Using Genetic Algorithm Yu Song, Yutaro Iwamoto, Tatsuaki Goh, Yohei Kondo, Keiji Nakajima, Yen-wei Chen, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Single-particle tracking (SPT) is a crucial progress to discover unknown principles of plants. Through accurate tracking of each particle on time-lapse images of biological samples taken by microscopes, many hypotheses in biological field can thus be verified. A commonly used method for tracking is called linear assignment problem (LAP) tracker. LAP tracker is well suited for particles undergoing Brownian motion. However, in our task, we are going to track the cortex cells of Arabidopsis root on 3D time-lapse (4D) images, where cells of Arabidopsis root are densely arranged. This makes LAP tracker ineffective when considering the distances costs of links. To realize accurate SPT on this task, we propose an automatic tracking method using genetic algorithm (GA). Based on the shape information we know about Arabidopsis roots, a 3D image at a frame can be viewed as 8 lines of cells. Therefore, we turn the SPT into the tracking on each of 8 lines in the time axis. Due to the elongation of cells, each line is not a straight line but more like a curve. For each frame, we use a GA to select an optimal plane to project cells. The projected cells are well separated to 8 regions, where each region represents a line of cells. After clustering the projected cells into 8 lines, we do the tracking based on 8 lines of cells. Finally, we operate SPT of each cortex cell. Through experiments, the proposed method realizes stable and accurate tracking of Arabidopsis root cortex cells. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Arabidopsis RootCell TrackingGenetic AlgorithmSingle-Particle Tracking |
| Paper # | MI2022-34 |
| Date of Issue | 2022-07-01 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2022/7/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical imaging, recoginition, etc. |
| Chair | Hidekata Hontani(Nagoya Inst. of Tech.) |
| Vice Chair | Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.) |
| Secretary | Hideaki Haneishi(Yamaguchi Univ.) / Takayuki Kitasaka(Univ. of Hyogo) |
| Assistant | Takeshi Hara(Gifu Univ.) / Yoshito Otake(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Medical Imaging |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] Automatic Cell Tracking in 4D Arabidopsis Root Microscopic Images Using Genetic Algorithm |
| Sub Title (in English) | |
| Keyword(1) | Arabidopsis RootCell TrackingGenetic AlgorithmSingle-Particle Tracking |
| 1st Author's Name | Yu Song |
| 1st Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 2nd Author's Name | Yutaro Iwamoto |
| 2nd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| 3rd Author's Name | Tatsuaki Goh |
| 3rd Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
| 4th Author's Name | Yohei Kondo |
| 4th Author's Affiliation | Exploratory Research Center on Life and Living Systems(ExCELLS) |
| 5th Author's Name | Keiji Nakajima |
| 5th Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
| 6th Author's Name | Yen-wei Chen |
| 6th Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
| Date | 2022-07-08 |
| Paper # | MI2022-34 |
| Volume (vol) | vol.122 |
| Number (no) | MI-98 |
| Page | pp.pp.10-15(MI), |
| #Pages | 6 |
| Date of Issue | 2022-07-01 (MI) |