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|Document Type: ||Conference paper|
|Title: ||FT-infrared spectroscopic studies of lymphoma, lymphoid and myeloid leukaemia
|Authors: ||Babrah, Jaspreet|
McCarthy, Keith P.
Rye, Adam D.
|Issue Date: ||2007|
|Citation: ||Jaspreet Babrah, Keith P. McCarthy, Richard Lush, Adam D. Rye, Conrad Bessant, Nicholas Stone. FT-infrared spectroscopic studies of lymphoma, lymphoid and myeloid leukaemia
cell lines. Proceedings of SPIE-OSA Biomedical Optics : Diagnostic Optical Spectroscopy in Biomedicine IV. Munich 19-21 June 2007, pp1-7|
|Abstract: ||This paper presents a novel method to characterise spectral differences that
distinguish leukaemia and lymphoma cell lines. This is based on objective
spectral measurements of major cellular biochemical constituents and
multivariate spectral processing. Fourier transform infrared (FT-IR) maps of the
lymphoma, lymphoid and myeloid leukaemia cell samples were obtained using a
Perkin-Elmer Spotlight 300 FT-IR imaging spectrometer. Multivariate statistical
techniques incorporating principal component analysis (PCA) and linear
discriminant analysis (LDA) were used to construct a mathematical model. This
model was validated for reproducibility. Multivariate statistical analysis of
FTIR spectra collected for each cell sample permit a combination of unsupervised
and supervised methods of distinguishing cell line types. This resulted in the
clustering of cell line populations, indicating distinct bio-molecular
differences. Major spectral differences were observed in the 4000 to 800 cm-
1 spectral region. Bands in the averaged spectra for the cell line were assigned
to the major biochemical constituents including; proteins, fatty acids,
carbohydrates and nucleic acids. The combination of FT-IR spectroscopy and
multivariate statistical analysis provides an important insight into the
fundamental spectral differences between the cell lines, which differ according
to the cellular biochemical composition. These spectral differences can serve as
potential biomarkers for the differentiation of leukaemia and lymphoma cells.
Consequently these differences could be used as the basis for developing a
spectral method for the detection and identification of haematological
|Appears in Collections:||Staff publications - Cranfield Health|
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