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Development of a digital micromirror device-based hyperspectral imaging system with dynamically adjustable
Jewon Lee1, Dohyeon Son1, Hanvit Kim2
1Department of Energy Systems Research, Ajou University, 164, Worldcup-ro, Yeongtong-gu, Suwon, 16499, Gyeonggi-do, South Korea.
Scientific Reports
|July 22, 2025
Summary
This study introduces a new hyperspectral imaging (HSI) method using a digital micromirror device (DMD) for high spectral resolution and adjustable imaging. This versatile HSI technique accurately differentiates spectral profiles, showing promise for dynamic biomedical applications.
Area of Science:
- Optics and Photonics
- Biomedical Imaging
- Spectroscopy
Background:
- Hyperspectral imaging (HSI) offers advanced target discrimination by capturing spatial and spectral data simultaneously.
- Existing HSI methods face limitations in spatial/spectral resolution and speed due to optical components, hindering dynamic imaging.
- Challenges include dynamic environments and targets with varying sizes and shapes.
Purpose of the Study:
- To present a novel HSI technique using a digital micromirror device (DMD).
- To achieve high spectral resolution imaging with adjustable spectral acquisition regions.
- To overcome limitations of conventional HSI in dynamic imaging scenarios.
Main Methods:
- Utilized a digital micromirror device (DMD) operating in binary mode for light reflection.
- Enabled simultaneous acquisition of spectral data and wide-field images.
- Visualized spectral acquisition regions directly in the wide-field image, eliminating registration needs.
Main Results:
- Demonstrated high fidelity in spectral data acquisition.
- Achieved spatially resolved spectral imaging.
- Successfully differentiated spectral profiles of normal and cancerous tissues from H&E-stained slides.
Conclusions:
- The DMD-based HSI approach provides a versatile and practical imaging solution.
- Offers high spectral resolution under dynamic imaging conditions.
- Validated applicability in biomedical diagnostics, specifically tissue differentiation.
