Spatially encoded hyperspectral compressive microscope for ultrabroadband VIS/NIR hyperspectral imaging.

Area of Science:

• Spectroscopy and Imaging
• Materials Science
• Optical Engineering

Background:

• Hyperspectral imaging (HSI) is crucial for sample characterization across scientific disciplines.
• Existing HSI methods often focus on limited spectral ranges due to application-specific constraints.
• There is a need for versatile HSI systems covering broad spectral regions.

Purpose of the Study:

• To demonstrate a broadband HSI setup capable of capturing data across visible (VIS), near-infrared (NIR), and short-wave infrared (SWIR) spectral regions.
• To develop and test a dual configuration of a compressed sensing-based HSI system.
• To evaluate the system's performance in spatial resolution, spectral reconstruction, and optical defect detection.

Main Methods:

• Development of a broadband hyperspectral imaging setup utilizing compressed sensing principles.
• Implementation of a dual single-pixel camera configuration with shared spatial modulation.
• Testing the system's performance on various samples, including those for optical defect analysis.

Main Results:

• Successful demonstration of a broadband HSI system covering VIS, NIR, and SWIR spectral ranges.
• Validation of spatial resolution and spectral reconstruction capabilities.
• Potential application in optical defect detection was shown.

Conclusions:

• The developed dual single-pixel camera HSI setup offers an affordable solution for broadband spectral studies.
• The system provides improved data efficiency through shared spatial modulation.
• This technology enables comprehensive sample characterization across extended spectral regions.