Optical diagnosis of cervical cancer by fluorescence spectroscopy technique

In the present work, we examine normal and malignant stage IIIB cervical tissue by laser induced fluorescence, with 2 different objectives. (i) Development of the fluorescence spectroscopy technique as a standard optical method for discrimination of normal and malignant tissue samples and, (ii) Optimization of the technique by the method of matching of a sample spectrum with calibration sets of spectra of pathologically certified samples. Laser-induced fluorescence spectra were measured using samples from 62 subjects at different excitation wavelengths. Principal component analysis (PCA) of spectra and intensity ratios of curve-resolved fluorescence peaks were tested for discrimination. It was found that PCA of total fluorescence at 325 nm excitation gives specificity and sensitivity over 95%. Use of calibration sets of spectra of histo-pathologically certified samples combined with PCA for matching and pass/fail classification of test samples is shown to have high sensitivity/specificity for routine diagnostic purposes as well as for possible staging of the disease. Further, the multi-component origin of the fluorescence spectra is illustrated by curve resolution and fluorescence spectra of separated proteins of tissue homogenates

Pulsed photoacoustic spectroscopy (PAS) set-up for the study of normal and malignant samples

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Micro-Raman spectroscopy of mixed cancer cell populations

Micro-Raman spectroscopy was used to investigate randomly mixed cell populations of human promyelocytic leukemia (HL60) and human breast cancer (MCF7); human uterine sarcoma (Mes-sa) and MCF7; as well as their respective pure cell lines. In this study the efficiency of micro-Raman spectroscopy to identify a cell type in randomly distributed mixed cell population was assessed. Raman data show that the differences in spectral profile between MCF7 and HL60 cell lines were more marked than those between MCF7 and Mes-sa cells. This shows that cells from different origins can display variances in their spectral signatures. Spectra were also analyzed by principal components analysis and results obtained from pure cell populations gave a reasonably good delineation between the cell types. Analysis of both mixed cell populations along with their pure cells counterparts, resulted in each case in three different clusters corresponding to the two pure cell populations and the mixed populations. However, a few spectra from the mixed population remained misclassified and were found to be closer to the clusters corresponding to pure cells. These results indicate that micro-Raman spectroscopy can be used to identify a cell type in a mixed cell population via its spectral signature

Fluorescence spectroscopy and HPLC-LIF as independent diagnostic tools in oral and breast malignancy

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Protein profiles in oral premalignancies: a laser spectroscopy study

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Ultrasensitive photoacoustic spectroscopy for biomedical applications

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A vibrational spectroscopy approach for monitoring radiation response in cervical cancers

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