| Project/Area Number |
16K20913
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Biophysics
Biological physics/Chemical physics/Soft matter physics
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| Research Institution | Tohoku University |
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Principal Investigator |
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| Project Period (FY) |
2016-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
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| Keywords | マニフォールドラーニング / 単粒子解析実験 / 4次元イメージング / マニフォールド / 生物物理 |
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| Outline of Final Research Achievements |
Using my software "EMMA" for classifying single-particle experimental data, I developed a four-dimensional imaging technique with single-particle experimental data. The following results were obtained: (i) Using two-dimensional projection images obtained through a simulation for a single-particle experiment, I successfully constructed three-dimensional electron density maps; (ii) Using a Gaussian low-pass filter, I succeeded in classifying the two-dimensional projection images calculated from the sample that particles were embedded in an amorphous ice; (iii) Using two-dimensional projection images of copper oxide nano-cube, I found that there two growing pathways of the cube; and (iv) I successfully constructed a Markov-state model with which accurate computation of physical quantities is possible.
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