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ADVANCED CENTER FOR OPHTHALMIC RESEARCH
IN NEUROIMAGING (ACORN)
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Slide 2: lab team outside
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Slide 4 Acorn at ARVO
Slide 5 Angiogram
Slide 6 Acorn VF study group
Slide 7 ASOCTA
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Slide 9_3d IC
Slide 10_Ladies of ACORN
Slide 11 PPA
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Features
Imaging with Vision

Under the leadership of Co-Directors Joel S. Schuman, MD, FACS and Gadi Wollstein, MD, the Advanced Center for Ophthalmic Research in Neuroimaging (ACORN), is a team of ophthalmologists, engineers, software specialists, statisticians, and trainees that focus primarily on glaucoma research.
 
Glaucoma, the second leading cause of blindness worldwide, is a neurodegenerative disease that affects the retina and optic nerve of the eye. Although various interventions exist, there is currently no known cure for glaucoma, therefore early disease detection is of the utmost importance for vision conservation.

IMAGE PROCESSING AND OTHER BASIC STUDIES ON OCULAR IMAGING
Detection, Monitoring, and
Prediction of Disease

Early detection of disease is critical to slowing down degeneration of neuroretinal tissue and preserving vision. Our group has pioneered methods for early detection, sensitive monitoring, and precise prediction to improve clinical evaluation and indication for treatment.

INTERPLAY BETWEEN INTRAOCULAR & INTRACRANIAL PRESSURES ON THE OPTIC NERVE HEAD
Understanding Disease Mechanism

Our mission is to delve into the root causes of disease pathogenesis, using advanced imaging and analytical techniques developed in our lab. These discoveries not only improve detection and prediction of disease but also may inform new targets for disease treatment.

LONGITUDINAL & CROSS-SECTIONAL ANALYSIS OF GLAUCOMA DIAGNOSIS & PROGRESSION DETECTION
Pushing the Boundaries of
Imaging Technology

The ACORN Lab is home to Philadelphia's most comprehensive Ocular diagnostics imaging center. Our lab directors pioneered the development of technologies now considered standard of care in the eye, and continue to push the boundaries of ophthalmic imaging with cutting edge technology.

GLAUCOMA AND THE QUALITY OF LIFE
Advancements in Analytical
Methodologies

The age of Artificial Intelligence and computational accessibility have ushered in new and improved methods for understanding disease. Our team is at the forefront of developing statistical and machine learning algorithms for extracting insights from clinical and imaging data to better understand disease features and improve prognostication.

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