Literature DB >> 21892116

Non-invasive collection and examination of human corneal epithelial cells.

Rachael Claire Peterson1, Maud Gorbet, Daniel Cira, Christopher Amos, Craig A Woods, Desmond Fonn.   

Abstract

PURPOSE: To report the development of a new apparatus for non-invasive collection of human corneal epithelial cells.
METHODS: Previous methods of non-invasive, irrigative corneal cell collection resulted in low cell yields limiting potential analysis. A new ocular surface cell collection apparatus (OSCCA) was designed to collect more epithelial cells from direct irrigation of the corneal surface to allow for clinical comparisons. Forty-five samples were obtained (unilateral or bilateral over seven visits) from five human participants. Cell yield, size, phenotype, and corneal staining (prior and post eye wash) were examined.
RESULTS: On average 364 ± 230 epithelial cells were collected from the cornea per eye. Epithelial cell sizes ranged from 8.21 to 51.69 μm in diameter, and 67.30 to 2098.85 μm area. The proportion of corneal specific cells collected per sample was 75 ± 14% as determined by positive K3 expression with AE5. On average, 77 ± 0.2% of epithelial cells harvested were nucleated, the remainder were non-nucleated ghost cells. Corneal staining was reduced in the OSCCA-washed vs. contralateral non-washed eyes (p = 0.02).
CONCLUSIONS: The OSCCA allows collection of human corneal epithelial cells with significantly higher yields, and greater specificity than previously reported. Reduced corneal staining observed post eye-wash demonstrated the safety of the technique, and its ability to remove cells directly from the corneal surface. The OSCCA could provide an objective non-invasive method of investigating pathological changes, effects of topical therapeutics, and impact of contact lenses and care-solutions of the cells of the ocular surface.

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Year:  2011        PMID: 21892116     DOI: 10.1097/OPX.0b013e31822c095d

Source DB:  PubMed          Journal:  Optom Vis Sci        ISSN: 1040-5488            Impact factor:   1.973


  1 in total

1.  Bayesian-based deconvolution fluorescence microscopy using dynamically updated nonstationary expectation estimates.

Authors:  Alexander Wong; Xiao Yu Wang; Maud Gorbet
Journal:  Sci Rep       Date:  2015-06-08       Impact factor: 4.379

  1 in total

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