| Project/Area Number |
24651229
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
System genome science
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| Research Institution | Osaka University |
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Principal Investigator |
MATSUDA Hideo 大阪大学, 情報科学研究科, 教授 (50183950)
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| Co-Investigator(Kenkyū-buntansha) |
SENO Shigeto 大阪大学, 大学院情報科学研究科, 助教 (30432462)
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| Co-Investigator(Renkei-kenkyūsha) |
ISHII Masaru 大阪大学, 大学院医学系研究科, 教授 (10324758)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | 細胞画像解析 / 細胞追跡 / 画像処理 / 生体イメージング / 数理モデル / バイオイメージインフォマティクス / 細胞遊走 / 蛍光イメージング / 細胞トラッキング / モデル化とシミュレーション |
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| Outline of Final Research Achievements |
This study aims to develop a methodology for analyzing environments of cells in living tissues by observing the time-lapse migration dynamics of the cells. For this purpose, two novel methods were developed: a method for tracking a large number of cell migrations by global data association based on a mathematical model on cell movement, and a method for identifying cell states by applying random forests to a semi-supervised classification. By using these methods to cell images, the methods demonstrated better prediction performance compared with widely-used image analysis programs.
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