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Conference Host:
SPIE Photonics
Conference Venue:
Moscone Center | San Francisco, CA
Abstract - Infrared (IR) microscopy has advanced significantly over the past decade, especially with the introduction of quantum cascade lasers (QCLs), enabling high-throughput imaging of large samples such as whole tissue sections. These developments allow researchers to generate extensive datasets at unprecedented speeds. The integration of artificial intelligence supports the creation of robust models that perform well across diverse sample cohorts. Combining IR data with spatial omics in multimodal approaches enhances spectral analysis and supports the training of AI models for future automated workflows. As IR microscopy becomes more routine, demands on instrumentation, data handling, and user interaction are evolving. This shift highlights the need for greater automation, standardized workflows, and application-specific software. Meeting these needs will require significant investment and collaboration. This paper discusses strategies in hardware and software design to support the transition of IR microscopy from a research tool to a scalable, routine analytical platform.
Paper 13843-17
Date: 21 January 2026
Time: 8:15 AM - 8:35 AM PST
Location: Room 210 (Moscone South, Level 2)
Authors: Kröger-Lui, Niels, Bruker Optik GmbH, Roth, Sascha, Bruker Optik GmbH, Dreisbach, Domenic, Bruker Optik GmbH, Harig, Roland, Bruker Optik GmbH, Tague, Thomas, Bruker Optics Inc., Peng, Wang, Bruker Optics Inc.
Abstract - One of the major limitations for clinical applications of infrared spectroscopic imaging modalities is the acquisition time required to obtain reasonable images of tissues with high spatial resolution and good signal-to-noise ratio (SNR). The time to acquire a reasonable signal to noise spectroscopic scan of a standard microscope slide region of tissue can take many hours. As a trade-off, systems can allow for discrete wavenumber acquisitions, sacrificing potentially vital chemical bands in order to reach specific acquisition targets. Recent instrumentation developments now allow for the full fingerprint imaging of tissue micro arrays in under 30 minutes, and entire microscope slides within an hour, enabling rapid, high quality spectroscopic imaging of tissues within clinical timeframes without sacrificing frequency bands. Here we compare the data from a novel QCL microscope to an FTIR microscope covering multiple aspects of spectroscopic imaging across multiple tissue types: prostate, penile, renal, and breast. Comparisons of hyperspectral data acquisition quality in both achieved signal to noise and image contrast alongside the capacity for unsupervised and supervised modelling of tissue constituents are reported. Additionally, we will present a clinically significant application of QCL IR data: the capacity to identify “at-risk” prostate cancer patients at the point of biopsy by combining infrared and clinical variables. We conclude that it is now possible to collect full fingerprint spectra and derive clinically relevant data in a timeframe suitable for translation into the pathology laboratory without the need to resort to discrete frequency imaging with subsequent loss of information.
Paper 13843-49
Date: 21 January 2026
Time: 8:35 AM - 9:15 AM PST
Location: Room 210 (Moscone South, Level 2)
Authors: Ferguson, Dougal, The Univ. of Manchester, Kröger-Lui, Niels, Bruker Optik GmbH, Dreisbach, Domenic, Bruker Optik GmbH, Hart, Claire A., The Univ. of Manchester, Sanchez, Diego F., The Univ. of Manchester, Sachdeva, Ashwin, The Univ. of Manchester, Gardner, Peter, The Univ. of Manchester
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