Classification of normal and malignant human gastric mucosa tissue with confocal Raman microspectroscopy and wavelet analysis.
Thirty-two samples from the human gastric mucosa tissue, including 13 normal and 19 malignant tissue samples were measured by confocal Raman microspectroscopy. The low signal-to-background ratio spectra from human gastric mucosa tissues were obtained by this technique without any sample preparation. Raman spectral interferences include a broad featureless sloping background due to fluorescence and noise. They mask most Raman spectral feature and lead to problems with precision and quantitation of the original spectral information. A preprocessed algorithm based on wavelet analysis was used to reduce noise and eliminate background/baseline of Raman spectra. Comparing preprocessed spectra of malignant gastric mucosa tissues with those of counterpart normal ones, there were obvious spectral changes, including intensity increase at approximately 1156cm(-1) and intensity decrease at approximately 1587cm(-1). The quantitative criterion based upon the intensity ratio of the approximately 1156 and approximately 1587cm(-1) was extracted for classification of the normal and malignant gastric mucosa tissue samples. This could result in a new diagnostic method, which would assist the early diagnosis of gastric cancer.
Hu
Yaogai
Y
College of Electronic Information, Wuhan University, Wuhan 430079, China.
Shen
Aiguo
A
Jiang
Tao
T
Ai
Yong
Y
Hu
Jiming
J
D005753:Gastric Mucosa / Q000737:chemistry* / Q000473:pathology; D006801:Humans; D013059:Spectrum Analysis, Raman / Q000379:methods*; D013274:Stomach Neoplasms / Q000737:chemistry* / Q000145:classification* / Q000473:pathology