| Project/Area Number |
18K14150
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 30020:Optical engineering and photon science-related
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2018-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2019: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2018: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
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| Keywords | 定量位相イメージング / ディジタル組織診断 / ディジタル組織診 |
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| Outline of Final Research Achievements |
In digital tissue diagnosis using quantitative phase imaging, which is label-free and quantitative tissue diagnosis technique, we proposed to use local correlation length of quantitative phase images as a marker of nanoscale morphological changes. The benign-malignant diagnosis of breast cancer tissue was performed, and the ratio of mean and standard deviation of the spatial autocorrelation length was able to discriminate between nonadjacent grades of benign and malignant grades 1, 2 and 3.
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| Academic Significance and Societal Importance of the Research Achievements |
本研究により，定量位相画像の空間自己相関長は乳がん組織の良性-悪性診断に有用であることが示された．今後は機械学習等の発展も手伝い，複数のマーカーを複合的に用いた多角的な診断が要求されると予想される．その点で，新たな病理マーカーを確立できたことの学術的意義は大きく，また，本研究が目指す簡単で正確な診断技術が支える医療社会の実現に向けた社会的意義も大きいと考える．
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