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Computational broadband imaging with laser-driven sequential light source arrays on a water film
Optics Express
|May 9, 2023
Summary
This study introduces a novel broadband imaging system using femtosecond-laser-driven light sources. The system achieves ultra-broadband illumination for X-ray and visible imaging, reducing acquisition time with compressive sensing.
Area of Science:
- Optics and Photonics
- Advanced Imaging Technologies
- Laser Physics
Background:
- Current imaging systems face limitations in capturing a wide spectrum of wavelengths, especially non-visible regions, within a single platform.
- Advances in imaging and computational processing have expanded visualization capabilities but integrating diverse wavelength ranges remains a challenge.
Purpose of the Study:
- To develop a single, integrated system capable of broadband imaging across a wide range of wavelengths, including non-visible spectra.
- To demonstrate the feasibility of generating ultra-broadband illumination for diverse imaging applications.
Main Methods:
- Utilized femtosecond-laser-driven sequential light source arrays to generate tunable ultra-broadband illumination.
- Employed a water film as an excitation target to demonstrate X-ray and visible light generation under atmospheric pressure.
- Applied compressive sensing algorithms to optimize image acquisition time and data processing.
Main Results:
- Successfully demonstrated a broadband imaging system capable of generating illumination across multiple spectral ranges.
- Achieved simultaneous X-ray and visible light imaging using a water film target at atmospheric pressure.
- Reduced imaging time significantly through the application of compressive sensing algorithms without compromising image resolution.
Conclusions:
- The proposed femtosecond-laser-driven light source array system offers a versatile solution for ultra-broadband imaging.
- This technology enables efficient imaging across diverse wavelengths, including X-ray and visible light, in a single system.
- Compressive sensing integration enhances the practicality of the system by accelerating image acquisition and reconstruction.

