Abstract
Infrared (IR) spectroscopic microscopes provide the potential for label-free quantitative molecular imaging of biological samples, which can be used to aid in histology, forensics, and pharmaceutical analysis. Most IR imaging systems use broadband illumination combined with a spectrometer to separate the signal into spectral components. This technique is currently too slow for many biomedical applications such as clinical diagnosis, primarily due to the availability of bright mid-infrared sources and sensitive MCT detectors. There has been a recent push to increase throughput using coherent light sources, such as synchrotron radiation and quantum cascade lasers. While these sources provide a significant increase in intensity, the coherence introduces fringing artifacts in the final image. We demonstrate that applying time-delayed integration in one dimension can dramatically reduce fringing artifacts with minimal alterations to the standard infrared imaging pipeline. The proposed technique also offers the potential for less expensive focal plane array detectors, since linear arrays can be more readily incorporated into the proposed framework.
Highlights
Mid-infrared (IR) spectroscopy is a non-destructive method for obtaining quantitative molecular information from a sample
We propose a hybrid approach that allows developers to maintain the throughput allowed with focal plane array (FPA) detectors while significantly mitigating coherence artifacts in the final image
We develop a quantum cascade lasers (QCLs)-based discrete-frequency infrared (DFIR) imaging system coupled with an mercury cadmium telluride (MCT) FPA detector
Summary
Mid-infrared (IR) spectroscopy is a non-destructive method for obtaining quantitative molecular information from a sample. Emerging vibrational imaging methods using mid-infrared [2] and Raman spectroscopy [3] have established label-free techniques to extract biomedical information from micrometer-thick samples. No prior knowledge of the sample composition is needed, since many molecular functional groups have resonant frequencies in the IR fingerprint region [4]. Based on this technique, many newly developed IR imaging applications are being explored for biomedical analysis and clinical diagnosis [5,6,7]
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