title: Quantitative Assessment of Retinopathy Using Multi-parameter Image Analysis.
abstract: A multi-parameter quantification method was implemented to quantify retinal vascular injuries in microscopic images of clinically relevant eye diseases. This method was applied to wholemount retinal trypsin digest images of diabetic Akita/+, and bcl-2 knocked out mice models. Five unique features of retinal vasculature were extracted to monitor early structural changes and retinopathy, as well as quantifying the disease progression. Our approach was validated through simulations of retinal images. Results showed fewer number of cells (P = 5.1205e-05), greater population ratios of endothelial cells to pericytes (PCs) (P = 5.1772e-04; an indicator of PC loss), higher fractal dimension (P = 8.2202e-05), smaller vessel coverage (P = 1.4214e-05), and greater number of acellular capillaries (P = 7.0414e-04) for diabetic retina as compared to normal retina. Quantification using the present method would be helpful in evaluating physiological and pathological retinopathy in a high-throughput and reproducible manner.
authors.affiliation: Biophotonics Laboratory, University of Wisconsin Milwaukee, Department of Electrical Engineering and Computer Science, 3200 N Cramer St., Milwaukee, WI 53211-3029, USA.
authors.forename: Zahra
authors.initials: Z
authors.lastname: Ghanian
authors.affiliation: Biophotonics Laboratory, University of Wisconsin Milwaukee, Department of Electrical Engineering and Computer Science, 3200 N Cramer St., Milwaukee, WI 53211-3029, USA.
authors.forename: Kevin
authors.initials: K
authors.lastname: Staniszewski
authors.affiliation: Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA.
authors.forename: Nasim
authors.initials: N
authors.lastname: Jamali
authors.affiliation: Biophotonics Laboratory, University of Wisconsin Milwaukee, Department of Electrical Engineering and Computer Science, 3200 N Cramer St., Milwaukee, WI 53211-3029, USA.
authors.forename: Reyhaneh
authors.initials: R
authors.lastname: Sepehr
authors.affiliation: Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA.
authors.forename: Shoujian
authors.initials: S
authors.lastname: Wang
authors.affiliation: Department of Pediatircs, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA; McPherson Eye research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA.
authors.forename: Christine M
authors.initials: CM
authors.lastname: Sorenson
authors.affiliation: Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA; McPherson Eye research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA; Biomedical Engineering, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA.
authors.forename: Nader
authors.initials: N
authors.lastname: Sheibani
authors.affiliation: Biophotonics Laboratory, University of Wisconsin Milwaukee, Department of Electrical Engineering and Computer Science, 3200 N Cramer St., Milwaukee, WI 53211-3029, USA; McPherson Eye research Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705-2275, USA.
authors.forename: Mahsa
authors.initials: M
authors.lastname: Ranji
keywords: Classification; fluorescence microscopy; fractals; image cytometry; retinopathy; segmentation