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Multimodal Nonlinear Hyperspectral Chemical Imaging Using Line-Scanning Vibrational Sum-Frequency Generation Microscopy
Published on: December 1, 2023
High-speed hyperspectral single-pixel microscopy via line-scan detection with data fusion-based enhanced resolution
Samuel I Zapata-Valencia1, Heberley Tobón-Maya2, Cosimo D'Andrea3
1Universitat Jaume I, Institute of New Imaging Technologies (INIT), Castelló de la Plana, Spain. szapata@uji.es.
Communications Engineering
|May 26, 2026
Summary
A new hyperspectral single-pixel microscopy (HySPM) platform offers a faster, more flexible, and cost-effective solution for spectral imaging. It overcomes limitations of current systems, enabling high-resolution spectral reconstructions.
Area of Science:
- Optics and Photonics
- Biomedical Imaging
- Spectroscopy
Background:
- Hyperspectral microscopy is crucial but current commercial systems are slow, expensive, and inflexible.
- Single-pixel imaging (SPI) and data fusion (DF) offer potential for high-resolution spectral imaging but face limitations with traditional spectrometers.
- Existing SPI methods struggle with limited bandwidth and slow acquisition speeds, hindering versatility.
Purpose of the Study:
- To develop a novel hyperspectral single-pixel microscopy platform (HySPM) that overcomes the speed, cost, and flexibility limitations of existing techniques.
- To integrate data fusion (DF) with HySPM to enhance spatial resolution and preserve spectral information.
- To provide a scalable and cost-effective hyperspectral imaging solution.
Main Methods:
- Developed a customized optical setup for HySPM, dispersing light into spectral components captured by a high-speed line-scan camera.
- Implemented full Hadamard scans (64x64 pixels) completed in 0.82 seconds at 10 kHz, acquiring up to 73 spectral bands with 4 nm resolution.
- Validated performance using reflected intensity and fluorescence imaging, and integrated HySPM with high-resolution monochrome images via DF.
Main Results:
- The HySPM platform achieved rapid spectral acquisition (0.82s for 64x64 scans) with high spectral resolution (4 nm) across 73 bands without compressive algorithms.
- Data fusion successfully expanded reconstructions from 64x64 to 605x605 pixels, significantly enhancing spatial detail.
- Spectral signatures were preserved during the data fusion process, demonstrating the integrity of the acquired spectral information.
Conclusions:
- The developed HySPM platform provides a scalable, cost-effective, and versatile solution for hyperspectral imaging.
- HySPM successfully addresses the temporal limitations inherent in current hyperspectral microscopy techniques.
- The integration of DF with HySPM offers a powerful approach for high-resolution, spectrally resolved imaging applications.
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