Literature DB >> 23393203

Fourier transform infrared spectroscopy imaging of live epithelial cancer cells under non-aqueous media.

JunYi Soh1, Adeline Chueng, Aminat Adio, Alan J Cooper, Brian R Birch, Bashir A Lwaleed.   

Abstract

AIMS: Fourier transform infrared (FT-IR) imaging is increasingly being applied to biomedical specimens, but strong IR absorption by water complicates live cell imaging. This study investigates the viability of adherent epithelial cells maintained for short periods under mineral oils in order to facilitate live cell spectroscopy using FT-IR with subsequent imaging.
METHODS: The MGH-U1 urothelial or CaCo2 colorectal cancer cell lines were grown on plastic surfaces or mid-range infrared transparent windows. Medium in established cultures was replaced with paraffin mineral oil, or Fluorolube, for up to 2 h, and viability assessed by supravital staining. Drug handling characteristics were also assessed. Imaging of preparations was attempted by reflectance and transmission using a Varian FT-IR microscope.
RESULTS: Cells covered by mineral oil remained viable for 2 h, with recovery into normal medium possible. MTT ((3-(4,5-dimethylthlazol-2-yl)-2,5-diphenyl tetrazolium) conversion to crystalline formazan and differential patterns of drug uptake were maintained. The combination of a calcium fluoride substrate, Fluorolube oil, and transmission optics proved best for spectroscopy. Spectral features were used to obtain images of live cells.
CONCLUSIONS: The viability of cells overlaid with IR transparent oils was assessed as part of a technique to optimise conditions for FT-IR imaging. Images of untreated cells were obtained using both reflectance and transmission. This represents an effective means of imaging live cells by IR spectroscopy, and also means that imaging is not necessarily a terminal event. It also increases options for producing images based on real-time biochemistry in a range of in vitro experimental and 'optical biopsy' contexts.

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Year:  2013        PMID: 23393203     DOI: 10.1136/jclinpath-2012-201098

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  1 in total

1.  Detection of gastric cancer with Fourier transform infrared spectroscopy and support vector machine classification.

Authors:  Qingbo Li; Wei Wang; Xiaofeng Ling; Jin Guang Wu
Journal:  Biomed Res Int       Date:  2013-08-13       Impact factor: 3.411

  1 in total

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