| Budget Amount *help |
¥18,980,000 (Direct Cost: ¥14,600,000、Indirect Cost: ¥4,380,000)
Fiscal Year 2019: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
Fiscal Year 2018: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2017: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
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| Outline of Final Research Achievements |
With the progress of single-molecule measurement and single-cell spectroscopic imaging, a huge amount of data in complex environments such as cells has been accumulated. "How can we correctly extract the underlying molecular mechanism of action from those data?" was an urgent unsolved issue. From the observed single molecule measurement data and imaging data, by taking into account bleaching effect of dye molecules and low signal to noise ratio, we have developed a series of data scientific framework that extracts the underlying energy landscape, classifies the cell states, and accelerate Raman diagnosis with guaranteeing the accuracy of the diagnosis. In addition, we have newly developed an information science analysis method to identify the interaction region and the aspect of many-body interaction from cell tracking data.
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