Label-free haemogram using wavelength modulated Raman spectroscopy for identifying immune-cell subset

Praveen C. Ashok, Bavishna B. Praveen, Elaine C. Campbell, Kishan Dholakia, Simon J. Powis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Leucocytes in the blood of mammals form a powerful protective system against a wide range of dangerous pathogens. There are several types of immune cells that has specific role in the whole immune system. The number and type of immune cells alter in the disease state and identifying the type of immune cell provides information about a person's state of health. There are several immune cell subsets that are essentially morphologically identical and require external labeling to enable discrimination. Here we demonstrate the feasibility of using Wavelength Modulated Raman Spectroscopy (WMRS) with suitable machine learning algorithms as a label-free method to distinguish between different closely lying immune cell subset. Principal Component Analysis (PCA) was performed on WMRS data from single cells, obtained using confocal Raman microscopy for feature reduction, followed by Support Vector Machine (SVM) for binary discrimination of various cell subset, which yielded an accuracy >85%. The method was successful in discriminating between untouched and unfixed purified populations of CD4+CD3+ and CD8+CD3+ T lymphocyte subsets, and CD56+CD3- natural killer cells with a high degree of specificity. It was also proved sensitive enough to identify unique Raman signatures that allow clear discrimination between dendritic cell subsets, comprising CD303+CD45+ plasmacytoid and CD1c+CD141+ myeloid dendritic cells. The results of this study clearly show that WMRS is highly sensitive and can distinguish between cell types that are morphologically identical.

Original languageEnglish
Title of host publicationBiomedical Vibrational Spectroscopy VI
Subtitle of host publicationAdvances in Research and Industry
PublisherSPIE
ISBN (Print)9780819498526
DOIs
Publication statusPublished - 2014
EventBiomedical Vibrational Spectroscopy VI: Advances in Research and Industry - San Francisco, CA, United States
Duration: 2014 Feb 12014 Feb 2

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8939
ISSN (Print)1605-7422

Conference

ConferenceBiomedical Vibrational Spectroscopy VI: Advances in Research and Industry
CountryUnited States
CitySan Francisco, CA
Period14/2/114/2/2

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Ashok, P. C., Praveen, B. B., Campbell, E. C., Dholakia, K., & Powis, S. J. (2014). Label-free haemogram using wavelength modulated Raman spectroscopy for identifying immune-cell subset. In Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry [2039836] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 8939). SPIE. https://doi.org/10.1117/12.2039836