Abstract
Retinopathic changes are common to many ocular diseases and if detected early, much of the change caused by various injuries can be prevented or in some cases reversed. However, detection and quantification of these changes currently requires tedious invasive and manual examination of retinal wholemount images. To remedy the quantitative limitations, we have designed a software system to automatically determine the vascular cell counts and coverage of retina in wholemount trypsin digest images. To verify the utility of the system, retinal trypsin digests from wild type (bcl-2 +/+) and bcl-2 deficient (bcl-2 -/-) mice were compared. Bcl-2 is a critical regulator of apoptosis with a significant role in retinal angiogenesis and vascularization. The bcl-2 -/- mice exhibited significant reduction in retinal vascular density and complexity. Thus, our results show the potential for automated evaluation of retinal trypsin digests delineating the differences between the wild type and bcl-2-deficient retinal vasculature.
Chapter PDF
Similar content being viewed by others
References
Sjolie, A.K., et al.: Retinopathy and vision loss in insulin-dependent diabetes in Europe. The EURODIAB IDDM Complications Study. Ophthalmology 104, 252–260 (1997)
Davis, B.A., et al.: Prevalence of renovascular hypertension in patients with grade III or IV hypertensive retinopathy. N. Engl. J. Med. 301, 1273–1276 (1979)
Bird, A.C., et al.: An international classification and grading system for age-related maculopathy and age-related macular degeneration. The International ARM Epidemiological Study Group. Surv. Ophthalmol. 39, 367–374 (1995)
Masters, B.R.: Fractal analysis of the vascular tree in the human retina. Annu. Rev. Biomed. Eng. 6, 427–452 (2004)
Family, F., et al.: Fractal Pattern-Formation in Human Retinal-Vessels. Physica D 38, 98–103 (1989)
Huang, Q., et al.: PEDF-deficient mice exhibit an enhanced rate of retinal vascular expansion and are more sensitive to hyperoxia-mediated vessel obliteration. Exp. Eye Res. 87, 226–241 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 IFIP International Federation for Information Processing
About this paper
Cite this paper
Staniszewski, K., Sepehr, R., Maleki, S., Sorenson, C.M., Sheibani, N., Ranji, M. (2012). Automated Evaluation of Retinopathies Using Image Cytometry. In: Camarinha-Matos, L.M., Shahamatnia, E., Nunes, G. (eds) Technological Innovation for Value Creation. DoCEIS 2012. IFIP Advances in Information and Communication Technology, vol 372. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28255-3_64
Download citation
DOI: https://doi.org/10.1007/978-3-642-28255-3_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28254-6
Online ISBN: 978-3-642-28255-3
eBook Packages: Computer ScienceComputer Science (R0)