ArticleScientific reports2018
Quantum Cascade Laser-Based Infrared Microscopy for Label-Free and Automated Cancer Classification in Tissue Sections.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Free-Electron Laser-Based Extended Wide-Field Mid-Infrared Photothermal Imaging for Biomedical and Microplastic Analysis.ACS omega · 2026Article
- Cohort-Scale Spatial Autocorrelation for Tumor Prediction in Mid-Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Artificial Intelligence-Assisted Infrared Spectroscopy and Chemometrics for Enhanced Histopathology Screening of Micro- and Macrocancer Lesions.Analytical chemistry · 2026Article
- Combining quantum cascade lasers and plasmonic metasurfaces to monitorNanophotonics (Berlin, Germany) · 2025Article
- Deep MALDI-MS spatial omics guided by quantum cascade laser mid-infrared imaging microscopy.Nature communications · 2025Article
- Label-free Aβ plaque detection in Alzheimer's disease brain tissue using infrared microscopy and neural networks.Heliyon · 2025Article
- Label-free biomedical optical imaging.Nature photonics · 2023Article
- Infrared spectroscopic laser scanning confocal microscopy for whole-slide chemical imaging.Nature communications · 2023Article
- Digital Histopathology by Infrared Spectroscopic Imaging.Annual review of analytical chemistry (Palo Alto, Calif.) · 2023Review
- Article
- Comprehensive Histopathology Imaging in Pancreatic Biopsies: High Definition Infrared Imaging with Machine Learning Approach.International journal of biological sciences · 2023Article
- Colon Cancer Grading Using Infrared Spectroscopic Imaging-Based Deep Learning.Applied spectroscopy · 2022Article
- Statistical Considerations and Tools to Improve Histopathologic Protocols with Spectroscopic Imaging.Applied spectroscopy · 2022Article
- On the Limit of Detection in Infrared Spectroscopic Imaging.Applied spectroscopy · 2022Article
- Advances in Digital Pathology: From Artificial Intelligence to Label-Free Imaging.Visceral medicine · 2021Review
- Infrared nanoscopy and tomography of intracellular structures.Communications biology · 2021Article
- Design Considerations for Discrete Frequency Infrared Microscopy Systems.Applied spectroscopy · 2021Article
- Rapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning.Scientific reports · 2021Article
- Concurrent Vibrational Circular Dichroism Measurements with Infrared Spectroscopic Imaging.Analytical chemistry · 2021Article
- Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.Nucleic acids research · 2020Article
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6 authors.
Funding
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Abstract
A feasibility study using a quantum cascade laser-based infrared microscope for the rapid and label-free classification of colorectal cancer tissues is presented. Infrared imaging is a reliable, robust, automated, and operator-independent tissue classification method that has been used for differential classification of tissue thin sections identifying tumorous regions. However, long acquisition time by the so far used FT-IR-based microscopes hampered the clinical translation of this technique. Here, the used quantum cascade laser-based microscope provides now infrared images for precise tissue classification within few minutes. We analyzed 110 patients with UICC-Stage II and III colorectal cancer, showing 96% sensitivity and 100% specificity of this label-free method as compared to histopathology, the gold standard in routine clinical diagnostics. The main hurdle for the clinical translation of IR-Imaging is overcome now by the short acquisition time for high quality diagnostic images, which is in the same time range as frozen sections by pathologists.
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