Comprehensive neuroanatomy by using non-staining imaging and informatics
| Project/Area Number |
15K12143
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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 |
Life / Health / Medical informatics
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| Research Institution | Keio University |
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Principal Investigator |
Kotaro Oka 慶應義塾大学, 理工学部(矢上), 教授 (10276412)
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| Project Period (FY) |
2015-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 生体生命情報学 / 生物物理 / 神経科学 / 細胞・組織 / 可視化 / 脳ドラフトマッピング / 無染色イメージング / ラマン分光イメージング / ハイパースペクトル / 神経解剖学 / 主成分分析 / 神経情報学 |
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| Outline of Final Research Achievements |
We have developed a new method to classify brain regions rationally. We obtain Raman spectral information for each pixel on the brain slices of songbirds. Using this spectral information, regions with similar spectra were extracted and mapped. As a result, myelin wrapped nerve fibers and several neurons with neurotransmitters (serotonin, dopamine and glutamate) could be detected without staining. As a method to rationally determine the brain region boundary, we attempted Voronoi division using nuclear position. As a result, we succeeded to divide the entire coronal section of the bird's brain into Voronoi units. By using this division method together with unstained imaging, it is possible to construct a brain draft map at high speed.
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Report
(3 results)
Research Products
(8 results)
