| Budget Amount *help |
¥17,550,000 (Direct Cost: ¥13,500,000、Indirect Cost: ¥4,050,000)
Fiscal Year 2022: ¥6,630,000 (Direct Cost: ¥5,100,000、Indirect Cost: ¥1,530,000)
Fiscal Year 2021: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
Fiscal Year 2020: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
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| Outline of Final Research Achievements |
Using deep learning, we have developed an image processing algorithm that can accurately track both cell migration and cell division in 3D time-series fluorescence microscopy images of mouse embryonic development, which was previously difficult. Existing tracking algorithms have difficulty detecting both cell migration and cell division simultaneously, and the accuracy of cell division tracking is very low. In this research project, we developed a tracking algorithm that combined deep learning and integer programming and accurately tracked cells up to the 40-cell stage.
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