Literature DB >> 14675680

Characterization of human cervical precancerous tissue through the fourier transform infrared microscopy with mapping method.

Jui-I Chang1, Yaw-Bin Huang, Pao-Chu Wu, Chao-Cheng Chen, Shun-Chen Huang, Yi-Hung Tsai.   

Abstract

OBJECTIVE: The aim of this study was to evaluate directly the utility of Fourier transform infrared microscopy (FTIR-MC) in detecting cervical precancer by comparison with the pathological examination of biopsy tissue.
METHODS: Cervical biopsy specimens were obtained from the outpatient department at Kaohsiung Municipal Ta-Tung Hospital. Freshly isolated tissue was washed in isotonic saline and then frozen for use. Two successive slices were cut with a microtome. One unstained slice was used for reflectance FTIR-MC analysis; the other slice was stained with hematoxylin and eosin and used for position reference by microscopic mapping.
RESULTS: The spectral region from 950 to 1500 cm(-1) is the most critical region in the IR spectrum of the tissue. There were two special peaks that had growth and decline in the IR spectra. The one at 1150 cm(-1) disappeared and the other at 1240 cm(-1) broadened when the tissue had pathological changes. From the results, we found that the ratio of the areas of the two regions between 1130 to 1180 cm(-1) and 1180 to 1260 cm(-1) was an exceptionally useful factor in discriminating precancerous tissues from normal tissues.
CONCLUSION: We carried out microscopic mapping of the tissues and demonstrated that the color map reflects pathological changes in the cervical tissues.

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Year:  2003        PMID: 14675680     DOI: 10.1016/j.ygyno.2003.08.030

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  2 in total

1.  Evaluation of gallbladder lipid level during carcinogenesis by an infrared spectroscopic method.

Authors:  Jiansheng Wang; Jia Zhang; Wenan Wu; Xiaoyi Duan; Sicen Wang; Mingxin Zhang; Suna Zhou; Fei Mo; Yizhuang Xu; Jingsen Shi; Jinguang Wu
Journal:  Dig Dis Sci       Date:  2009-12-03       Impact factor: 3.199

2.  Research of Recognition Method of Discrete Wavelet Feature Extraction and PNN Classification of Rats FT-IR Pancreatic Cancer Data.

Authors:  Chayan Wan; Wenqing Cao; Cungui Cheng
Journal:  J Anal Methods Chem       Date:  2014-12-04       Impact factor: 2.193

  2 in total

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