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UV Raman chemical imaging using compressed sensing
Markus Nordberg1, Lars Landström
1Department of Physics, Umeå University, SE-901 87 Umeå, Sweden.
The Analyst
|February 12, 2019
Summary
This study demonstrates UV Raman hyperspectral imaging using coded apertures (CA) and compressed sensing. The simple CA setup enhances spatial and spectral resolution for chemical imaging applications.
Area of Science:
- Spectroscopy
- Chemical Imaging
- Optics
Background:
- Hyperspectral imaging offers valuable data across diverse research fields.
- UV Raman spectroscopy provides unique chemical information.
- Compressed sensing techniques can improve imaging efficiency.
Purpose of the Study:
- To demonstrate proof-of-principle for UV Raman hyperspectral imaging using coded apertures (CA).
- To evaluate the performance of a simple and cost-effective CA setup for UV imaging.
- To investigate the impact of multi-frame CA imaging on resolution and contrast.
Main Methods:
- Utilized compressed sensing measurements with coded apertures (CA).
- Employed a random binary mask (chromium on fused silica) at the spectrograph entrance.
- Implemented a reconstruction algorithm for multi-frame CA imaging.
Main Results:
- Achieved high throughput in the UV region with the CA setup.
- Demonstrated qualitative improvements in spatial and spectral resolution and contrast.
- Observed enhanced imaging quality with an increased number of CA frames.
Conclusions:
- UV Raman hyperspectral imaging with CA and compressed sensing is feasible.
- The simple CA setup is effective for enhancing UV chemical imaging.
- Multi-frame CA imaging offers a pathway to improved resolution and contrast.
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