2023 Fiscal Year Final Research Report
Computational CMOS image sensor for wide-field quantitative tissue imaging
| Project/Area Number |
21H04557
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Medium-sized Section 21:Electrical and electronic engineering and related fields
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| Research Institution | Shizuoka University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
中澤 謙太 静岡大学, 工学部, 助教 (50824520)
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| Project Period (FY) |
2021-04-05 – 2024-03-31
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| Keywords | CMOSイメージセンサ / マルチアパーチャ / 空間周波数領域イメージング / MELSCI / マルチストレージ / 広視野イメージング / 定量計測 |
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| Outline of Final Research Achievements |
We developed a reconfigurable and programmable multimodality quantitative biomedical imaging camera that efficiently acquires a variety of biological information using appropriate methods and conditions. As the core device, we developed a general-purpose computational CMOS image sensor device (MaMs-compCIS) that combines multiple storage pixels for time-division multiplexed functional imaging and spatial-division multiplexed imaging using multi-aperture optics. We experimentally confirmed that this device can simultaneously measure biological information for multiple modalities, such as the distribution of pigment concentration and scattering coefficient in the body and the lateral distribution of blood flow speed, from spatiotemporal image information obtained by synchronizing this device with multi-wavelength short structure light illumination.
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| Free Research Field |
情報光学
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| Academic Significance and Societal Importance of the Research Achievements |
生体の複数のモダリティを同時計測するイメージセンサデバイスを開発し，その有効性を実証した．今まで暗室で静止して計測が必要だったものが，明るい部屋で，被写体に多少の動きがあってもアーティファクト無く定量計測が可能であることを実験的に確認した．この技術は，火傷，糖尿病などに応用でき，より自然な環境で，患者への負荷を低減した計測を可能とし，医療に貢献すると考えている．
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