Scientists have developed a novel and creative mid-infrared (MIR) hyperspectral microscope using single-pixel imaging (SPI) technology and a quantum cascade laser (QCL). This innovation offers faster, more cost-effective chemical analysis compared to traditional methods, promising new frontiers in microscopic imaging.
Artistic impression of QCL microscope © Oranuch - stock.adobe.com
Chronicling Mid-Infrared Imaging with Quantum Lasers
In a significant advancement for infrared (IR) microscopy, researchers from the Research Center for Non-Destructive Testing GmbH (RECENDT) and Johannes Kepler University Linz have demonstrated a mid-infrared hyperspectral microscope utilizing single-pixel imaging (SPI) technology and a quantum cascade laser (QCL). Their work, published in Optics Express, addresses long-standing limitations IR microscopy, paving the way for faster, more affordable, and high-resolution chemical imaging (1,2).
IR microscopy is essential for analyzing chemically and spatially diverse samples. The technique allows scientists to identify molecular composition non-destructively, making it invaluable across various scientific disciplines. Historically, Fourier-transform infrared (FT-IR) spectrometers equipped with thermal IR sources have dominated the field. However, these conventional methods often suffer from drawbacks such as slow data acquisition, limited spectral brightness, and high costs due to complex focal plane array detectors (FPAs).
The team, led by Augustin Zuljevic, Alexander Ebner, and colleagues, tackled these challenges by integrating a QCL—a high-brightness laser source tunable between 8.3 and 11.1 µm—into a single-pixel imaging system. Unlike traditional FPAs, SPI uses a digital micromirror device (DMD) to modulate light spatially and record intensity with a single detector, significantly reducing costs while enhancing performance (1,2).
Technical Innovations and Findings
A key challenge in designing the microscope was managing diffraction effects caused by the DMD's microstructure. The team conducted a detailed analysis of diffraction patterns, comparing the zeroth and first diffraction orders. They found that while the zeroth order lacked sufficient contrast to distinguish "on" and "off" states of the micromirrors, the first diffraction order provided optimal modulation contrast—a critical factor for SPI accuracy (1).
The system’s spatial resolution was rigorously tested using a reflective resolution target, demonstrating performance beyond 24.8 µm at a 10.1 µm wavelength. This level of detail represents a significant improvement over many conventional IR systems (1).
To validate the microscope's spectral capabilities, the researchers analyzed an 8 µm-thick polypropylene (PP) foil and compared the results with reference FT-IR spectra. The QCL-based system accurately identified characteristic absorption features of polypropylene, confirming its efficacy for chemical detection. This validation highlights the system's potential for practical applications in fields ranging from materials science to biomedical diagnostics (1).
Overcoming Limitations and Future Directions
Despite its successes, the system faces certain limitations. The reliance on the first diffraction order introduces wavelength-dependent diffraction angles, complicating the optical setup and narrowing the spectral bandwidth. Additionally, while QCL illumination is intense, using the first diffraction order reduces the signal-to-noise ratio (S/N) since much of the diffraction intensity is concentrated in the zeroth order (1).
The researchers suggest that future improvements could involve custom optical components to address bandwidth limitations or enhancements to the zeroth order’s diffraction contrast. Such advancements could further boost the S/N and simplify the system’s design. Another promising direction is exploring structured illumination techniques, which could mitigate heat damage in sensitive samples, expanding the system's applicability (1).
This pioneering work by Zuljevic, Ebner, and their colleagues demonstrates the transformative potential of combining single-pixel imaging with QCLs for mid-infrared microscopy. By overcoming key challenges associated with traditional FT-IR systems, this new approach offers a faster, more affordable, and highly precise tool for chemical analysis. As the technology continues to advance, it holds promise for diversifying research and industrial applications in microscopic imaging.
References
(1) Zuljevic, A.; Ebner, A.; Gattinger, P.; Zorin, I.; Rankl, C.; Hingerl, K.; Brandstetter, M. Mid-Infrared Hyperspectral Single-Pixel Microscopy With a Quantum Cascade Laser. Optics Express 2024, 32 (20), 35184–35193. DOI: 10.1364/OE.535296
(2) Weida, M.J. and Yee, B., 2011, February. Quantum Cascade Laser-Based Replacement for FT-IR Microscopy. In Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues, IX, SPIE 2011, 7902, 280–286. DOI:10.1117/12.873954
Artificial Intelligence Accelerates Molecular Vibration Analysis, Study Finds
July 1st 2025A new review led by researchers from MIT and Oak Ridge National Laboratory outlines how artificial intelligence (AI) is transforming the study of molecular vibrations and phonons, making spectroscopic analysis faster, more accurate, and more accessible.
Toward a Generalizable Model of Diffuse Reflectance in Particulate Systems
June 30th 2025This tutorial examines the modeling of diffuse reflectance (DR) in complex particulate samples, such as powders and granular solids. Traditional theoretical frameworks like empirical absorbance, Kubelka-Munk, radiative transfer theory (RTT), and the Hapke model are presented in standard and matrix notation where applicable. Their advantages and limitations are highlighted, particularly for heterogeneous particle size distributions and real-world variations in the optical properties of particulate samples. Hybrid and emerging computational strategies, including Monte Carlo methods, full-wave numerical solvers, and machine learning (ML) models, are evaluated for their potential to produce more generalizable prediction models.
Polystyrene and UVC Sterilization Tested with Spectroscopy and Luminescence Tools
June 25th 2025A team of researchers from Spanish institutions has found that polystyrene used in healthcare packaging shows strong resistance to UVC sterilization, with minimal chemical degradation detected using FT-IR and Raman spectroscopy.