Developing Raman Spectroscopy as a Diagnostic Tool for Label-free Antigen Detection.
Journal of Biophotonics
Reason for embargo
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.
The authors would like to acknowledge Katherine Lau, Stephanie Ohrel and Ian Bell for equipment and software support and the UCL Biobank for providing tissue for the study. We also thank UCL Advanced Diagnostics for IHC support.
This is the author's accepted manuscript
The final version is available from Wiley via the DOI in this record
Accepted manuscript online: 12 July 2017
Place of publication