University of Louisville Research Foundation, Inc.

University of Massachusetts

Shlomit Schaal

Ayman Sabry El-Baz

Ori J Braun

Martin G O'Toole

Robert S Keynton

Ahmed Soliman

Harpal Sandhu

Mohammed Elmogy

Amir Reza Harjrasouliha

Nabila Eldawi

Amir Reza Hajrasouliha

Methods of reducing oxidative damage to an eye of a subject are provided. Aspects of the method include intravitreal injection an antioxidant composition consisting essentially of a non-reducing sugar or a hydrate thereof. In some embodiments, the non-reducing sugar is trehalose. The methods can further include surgical removal of at least a portion of the subject's vitreous humor during a vitrectomy. Also provided are ophthalmic compositions, kits and pre-loaded injection devices for use in vitrectomy surgery which find use in the subject methods.

Ophthalmic compositions and methods for reducing oxidative damage to an eye lens

Automated and objective methods for quantifying a retinal characteristic include segmenting an optical coherence tomography retinal image into a plurality of layered retinal regions, and quantifying the retinal characteristic for each region as normalized to a range defined by the characteristic value in the vitreous region and in the retinal pigment epithelium region. Such methods are useful for detecting occult ocular pathology, diagnosing ocular pathology, reducing age-bias in OCT image analysis, and monitoring efficacy ocular/retinal disease therapies.

Automated methods for the objective quantification of retinal characteristics by retinal region and diagnosis of retinal pathology

Methods for automated segmentation system for retinal blood vessels from optical coherence tomography angiography images include a preprocessing stage, an initial segmentation stage, and a refining stage. Application of machine-learning techniques to segmented images allow for automated diagnosis of retinovascular diseases, such as diabetic retinopathy.

Segmentation of retinal blood vessels in optical coherence tomography angiography images

Automated and objective methods for quantifying a retinal characteristic include segmenting an optical coherence tomography image into a plurality of layered retinal regions, and quantifying the retinal characteristic for each region as normalized to a range defined by the characteristic value in the vitreous region and in the retinal pigment epithelium region. Such methods are useful for detecting occult ocular pathology, diagnosing ocular pathology, reducing age-bias in OCT image analysis, and monitoring efficacy ocular/retinal disease therapies.

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Prospect, KY, United States of America

Shlomit Schaal