Paper
22 August 1988 Characterization Of Corneal Specular Endothelial Photomicrographs By Their Fourier Transforms
Barry R. Masters
Author Affiliations +
Abstract
The innermost layer of the cornea consists of a single layer of cells which are responsible for the active transport of fluid from the cornea to the aqueous humor. This cellular layer is about 5 pm thick and consist of cells of various shapes (pentagons, hexagons, hexagons, and octagons) although hexagons predominate. With aging and disease states, the cells become enlarged and the percent of hexagons decrease with the appearance of many five and seven side cells. The shape of the endothelial cells in the living cornea is usually evaluated from specular photomicrographs made in specularly reflected light which shows the cell borders in a square millimeter of corneal endothelium. The cell borders are traced out and the cells are analyzed with a digitizer pad, stylus, and computer software. This yields the cell area, density, coefficient of variation, and a histogram of n-sided cells. As an alternative approach to evaluate the cell shape and pattern optically, the following system was employed. The Fourier transform of the cell pattern was obtained on a digital image processor. This technique results in a fingerprint of the original cellular pattern which can be used to characterize the cellular arrangement.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Barry R. Masters "Characterization Of Corneal Specular Endothelial Photomicrographs By Their Fourier Transforms", Proc. SPIE 0938, Digital and Optical Shape Representation and Pattern Recognition, (22 August 1988); https://doi.org/10.1117/12.976599
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fourier transforms

Photomicroscopy

Cornea

Microscopes

Photography

Image processing

Spatial frequencies

Back to Top