ArticleScientific reports2021
Rapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- 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
- Design and Development of an Automated Pipeline for Medical Hyperspectral Image Acquisition, Processing, and Fusion.Journal of imaging · 2026Article
- Novel Multimodal Imaging System for High-Resolution and High-Contrast Tissue Segmentation Based on Chemical Properties.Sensors (Basel, Switzerland) · 2025Article
- A novel MIR imaging approach for precise detection ofBiofilm · 2025Review
- Deep MALDI-MS spatial omics guided by quantum cascade laser mid-infrared imaging microscopy.Nature communications · 2025Article
- Article
- Establishing Reliable Research Data Management by Integrating Measurement Devices Utilizing Intelligent Digital Twins.Sensors (Basel, Switzerland) · 2023Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Frozen section analysis is a frequently used method for examination of tissue samples, especially for tumour detection. In the majority of cases, the aim is to identify characteristic tissue morphologies or tumour margins. Depending on the type of tissue, a high number of misdiagnoses are associated with this process. In this work, a fast spectroscopic measurement device and workflow was developed that significantly improves the speed of whole frozen tissue section analyses and provides sufficient information to visualize tissue structures and tumour margins, dependent on their lipid and protein molecular vibrations. That optical and non-destructive method is based on selected wavenumbers in the mid-infrared (MIR) range. We present a measuring system that substantially outperforms a commercially available Fourier Transform Infrared (FT-IR) Imaging system, since it enables acquisition of reduced spectral information at a scan field of 1 cm
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