PTH-175 Raman mapping for pathology classification: the need for speed

Old, OJ; Isabelle, Martin; Lloyd, Gavin R.; Kendall, Catherine; Barr, Hugh; Stone, Nick

doi:10.1136/gutjnl-2015-309861.1063

Cited by 1 publication

(1 citation statement)

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“…RS is objective and offers a very reliable diagnosis as it provides a biochemical fingerprint of the tissue under investigation and does not rely upon subjective assessment. Previous studies have combined RS with basic hematoxylin and eosin (H&E) staining and white light microscopy images , while this paper is the first of its kind to investigate the tissue morphological information that can be obtained in a direct comparison between RS and IHC. Results clearly show the co‐localization of spectral signatures with IHC staining and demonstrate the multiplexing capabilities of RS.…”

Section: Introductionmentioning

confidence: 99%

Developing Raman spectroscopy as a diagnostic tool for label‐free antigen detection

Lewis

Gaifulina

Guppy

et al. 2017

Journal of Biophotonics

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For several decades, a multitude of studies have documented the ability of Raman spectroscopy (RS) to differentiate between tissue types and identify pathological changes to tissues in a range of diseases. Furthermore, spectroscopists have illustrated that the technique is capable of detecting disease-specific alterations to tissue before morphological changes become apparent to the pathologist. This study draws comparisons between the information that is obtainable using RS alongside immunohistochemistry (IHC), since histological examination is the current GOLD standard for diagnosing a wide range of diseases. Here, Raman spectral maps were generated using formalin-fixed, paraffin-embedded colonic tissue sections from healthy patients and spectral signatures from principal components analysis (PCA) were compared with several IHC markers to confirm the validity of their localizations. PCA loadings identified a number of signatures that could be assigned to muscle, DNA and mucin glycoproteins and their distributions were confirmed with antibodies raised against anti-Desmin, anti-Ki67 and anti-MUC2, respectively. The comparison confirms that there is excellent correlation between RS and the IHC markers used, demonstrating that the technique is capable of detecting compositional changes in tissue in a label-free manner, eliminating the need for antibodies.

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Section: Introductionmentioning

confidence: 99%