Fourier-transform infrared spectroscopy of human cancerous and normal intestine

Shaul Mordechai, Ahmad Salman, Shmuel Argov, Beny Cohen, Vitaly Erukhimovitch, Jed Goldstein, Orna Chaims, Ziad Hammody

Research output: Contribution to journalConference articlepeer-review

14 Scopus citations

Abstract

Fourier-Transform Infrared Spectroscopy (FTIR) employs a unique approach to optical diagnosis of tissue pathology based on the characteristic molecular vibrational spectra of the tissue. The architectural changes in the cellular and sub-cellular levels developing in abnormal tissue, including a majority of cancer forms, manifest themselves in different optical signatures, which can be detected in infrared spectroscopy. The molecular vibrational modes, which are responsible for infrared (IR) absorption spectra, are characteristic of the biochemistry of the cells and their sub-cellular components. The biological systems we have studied include adenocarcinoma and normal colonic tissues obtained from the department of pathology at Soroka Medical Center (SMC). Our method is based on microscopic infrared study (FTIR-microscopy) of thin tissue specimens and a direct comparison with normal histopathological analysis, which serves as a `gold' reference. Several unique differences between normal and cancerous intestinal specimens have been observed. The cancerous intestine has weaker absorption strength over a wide region, which includes several significant vibrational bands. The results from microscopic IR absorption spectra from intestinal tissues (normal and cancerous) have also been compared with other biological tissue samples.

Original languageEnglish
Pages (from-to)66-77
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3918
DOIs
StatePublished - 1 Jan 2000
EventBiomedical Spectroscopy: Vibrational Spectroscopy and other Novel Techniques - San Jose, CA, USA
Duration: 26 Jan 200027 Jan 2000

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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