Lensless Photoluminescence Hyperspectral Camera Employing Random Speckle Patterns

Area of Science:

• Optics and Photonics
• Spectroscopy
• Image Reconstruction

Background:

• Hyperspectral imaging traditionally requires complex setups.
• Compressive sensing offers novel imaging approaches.
• Photoluminescence imaging provides valuable material insights.

Purpose of the Study:

• To demonstrate a simplified spectrally-resolved photoluminescence imaging setup.
• To leverage single-pixel camera techniques for hyperspectral imaging.
• To explore laser speckle patterns for image encoding.

Main Methods:

• Utilized a single-pixel camera architecture with a spectrometer as the detector.
• Employed random laser speckle patterns for image encoding.
• Reconstructed hyperspectral images from collected data.

Main Results:

• Successfully generated spectrally-resolved photoluminescence images of model scenes.
• Demonstrated the simplicity and effectiveness of the proposed setup.
• Analyzed the impact of speckle pattern parameters on imaging quality.

Conclusions:

• The developed technique offers a simple and versatile method for spectrally-resolved photoluminescence imaging.
• This approach is compatible with various coherent excitation sources and spectral detection ranges.
• It presents a promising alternative to traditional hyperspectral imaging methods.