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Role Of Myo/Nog Cells In Neuroprotection: Evidence From The Light Damaged Retina., Alice Brandli, Jacquelyn Gerhart, Christopher K Sutera, Sivaraman Purushothuman, Mindy George-Weinstein, Jonathan Stone, Arturo Bravo-Nuevo 2017 Philadelphia College of Osteopathic Medicine

Role Of Myo/Nog Cells In Neuroprotection: Evidence From The Light Damaged Retina., Alice Brandli, Jacquelyn Gerhart, Christopher K Sutera, Sivaraman Purushothuman, Mindy George-Weinstein, Jonathan Stone, Arturo Bravo-Nuevo

Mindy George-Weinstein

PURPOSE: To identify Myo/Nog cells in the adult retina and test their role in protecting retinal photoreceptors from light damage. METHODS: Light damage was induced by exposing albino rats raised in dim cyclic light to 1000 lux light for 24 hours. In one group of rats, Myo/Nog cells were purified from rat brain tissue by magnetic cell sorting following binding of the G8 monoclonal antibody (mAb). These cells were injected into the vitreous humour of the eye within 2 hours following bright light exposure. Retinal function was assessed using full-field, flash electroretinogram (ERG) before and after treatment. The ...


Role Of Myo/Nog Cells In Neuroprotection: Evidence From The Light Damaged Retina., Alice Brandli, Jacquelyn Gerhart, Christopher K Sutera, Sivaraman Purushothuman, Mindy George-Weinstein, Jonathan Stone, Arturo Bravo-Nuevo 2017 Philadelphia College of Osteopathic Medicine

Role Of Myo/Nog Cells In Neuroprotection: Evidence From The Light Damaged Retina., Alice Brandli, Jacquelyn Gerhart, Christopher K Sutera, Sivaraman Purushothuman, Mindy George-Weinstein, Jonathan Stone, Arturo Bravo-Nuevo

PCOM Scholarly Papers

PURPOSE: To identify Myo/Nog cells in the adult retina and test their role in protecting retinal photoreceptors from light damage.

METHODS: Light damage was induced by exposing albino rats raised in dim cyclic light to 1000 lux light for 24 hours. In one group of rats, Myo/Nog cells were purified from rat brain tissue by magnetic cell sorting following binding of the G8 monoclonal antibody (mAb). These cells were injected into the vitreous humour of the eye within 2 hours following bright light exposure. Retinal function was assessed using full-field, flash electroretinogram (ERG) before and after treatment. The ...


Morphological Assessment Of The Retina In Uveitis., Michael M. Altaweel, Sapna S. Gangaputra, Jennifer E. Thorne, James P. Dunn, Susan G. Elner, Glenn J. Jaffe, Rosa Y. Kim, P. Kumar Rao, Susan B. Reed, John H. Kempen 2016 University of Wisconsin-Madison

Morphological Assessment Of The Retina In Uveitis., Michael M. Altaweel, Sapna S. Gangaputra, Jennifer E. Thorne, James P. Dunn, Susan G. Elner, Glenn J. Jaffe, Rosa Y. Kim, P. Kumar Rao, Susan B. Reed, John H. Kempen

Wills Eye Institute Papers

BACKGROUND: The objective of this study is to describe a system for color photograph evaluation in uveitis and report baseline morphologic findings for the Multicenter Uveitis Steroid Treatment (MUST) Trial. Four-hundred seventy-nine eyes of 255 subjects with intermediate, posterior, and panuveitis had stereoscopic color fundus photographs obtained by certified photographers and evaluated by certified graders using standardized procedures to evaluate morphologic characteristics of uveitis. The posterior pole was evaluated for macular edema, vitreoretinal interface abnormalities, and macular pigment disturbance/atrophy; the optic disk was assessed for edema, pallor, or glaucomatous changes. The presence of neovascularization, vascular occlusion, vascular sheathing, and ...


Self-Complementary Adeno-Associated Virus Vectors Improve Transduction Efficiency Of Corneal Endothelial Cells, Anja K. Gruenert, Marta Czugala, Christian Mueller, Marco Schmeer, Martin Schleef, Friedrich E. Kruse, Thomas A. Fuchsluger 2016 University of Erlangen-Nurnberg

Self-Complementary Adeno-Associated Virus Vectors Improve Transduction Efficiency Of Corneal Endothelial Cells, Anja K. Gruenert, Marta Czugala, Christian Mueller, Marco Schmeer, Martin Schleef, Friedrich E. Kruse, Thomas A. Fuchsluger

Christian Mueller

Transplantation of a donor cornea to restore vision is the most frequently performed transplantation in the world. Corneal endothelial cells (CEC) are crucial for the outcome of a graft as they maintain corneal transparency and avoid graft failure due to corneal opaqueness. Given the characteristic of being a monolayer and in direct contact with culture medium during cultivation in eye banks, CEC are specifically suitable for gene therapeutic approaches prior to transplantation. Recombinant adeno-associated virus 2 (rAAV2) vectors represent a promising tool for gene therapy of CEC. However, high vector titers are needed to achieve sufficient gene expression. One of ...


When The Challenges Of Aging And Visual Impairment Collide: Working Together To Build A Toolbox Of Rehab Ideas Of Best Care For Older Adults, Regula H. Robnett, Kathy Clarrage 2016 University of New England

When The Challenges Of Aging And Visual Impairment Collide: Working Together To Build A Toolbox Of Rehab Ideas Of Best Care For Older Adults, Regula H. Robnett, Kathy Clarrage

Occupational Therapy Faculty Presentations

Workshop/presentation by Regi Robnett, Ph.D., OTR/L, FAOTA, professor in the UNE Department of Occupational Therapy and Kathy Clarrage, COMS, Certified Orientation and Mobility Specialist for the State of Maine. Given at the North East Chapter of the Association for Education and Rehabilitation for the Blind and Visually Impaired (NEAER) conference, this presentation encouraged health care providers to work as a team to care for older, visually impaired adults. The professional audience included orientation and mobility specialists, vision rehabilitation therapists, low vision specialists, administrators in the field of blindness, social workers in the field of blindness and vocational ...


The Targetable Epigenetic Tumor Protein Ezh2 Is Enriched In Intraocular Medulloepithelioma., Sarah E. Avedschmidt, Anna M. Stagner, Ralph C Eagle, George J. Harocopos, Yali Dou, Rajesh C. Rao 2016 The University Of Michigan

The Targetable Epigenetic Tumor Protein Ezh2 Is Enriched In Intraocular Medulloepithelioma., Sarah E. Avedschmidt, Anna M. Stagner, Ralph C Eagle, George J. Harocopos, Yali Dou, Rajesh C. Rao

Wills Eye Institute Papers

Purpose: Intraocular medulloepithelioma (IM), the second most common primary neuroepithelial tumor of the eye, can lead to blindness in the affected eye and in rare cases, is deadly. Intraocular medulloepithelioma lacks targetable biomarkers for potential pharmacologic therapy. The purpose of this study was to identify actionable, tumor-specific proteins for potential diagnostic or therapeutic strategies. We hypothesize that the tumor-specific epigenetic enzyme EZH2 is selectively expressed in IM.

Methods: We conducted a retrospective case series study of five IM from five eyes of four children and one adult. Hematoxylin and eosin (H&E) stains of sections from formalin-fixed, paraffin-embedded blocks of IM tumors were used to localize IM tumor cells in each case. Using an EZH2-specific antibody for immunohistochemistry, we semiquantitatively calculated the proportion of IM tumor cells positive for EZH2, and also assayed for EZH2 staining intensity.

Results: We found that EZH2 was expressed in all IM cases but this protein was absent in nontumor ciliary body or retinal tissues. However, not all IM tumor cells expressed EZH2. Similar to retinoblastoma, moderately to poorly differentiated (primitive appearing) IM tumor cells strongly expressed EZH2; expression was weaker or absent in areas of well-formed ...


Analysis Of The Efforts Of Urban And Rural Health Systems To Achieve Accountable Care Organization Target Goals For Dilated Eye Exams In Individuals With Diabetes, Michele Gilliam 2016 University of Southern Maine

Analysis Of The Efforts Of Urban And Rural Health Systems To Achieve Accountable Care Organization Target Goals For Dilated Eye Exams In Individuals With Diabetes, Michele Gilliam

Muskie School Capstones

This capstone project was designed to understand and analyze the completion rates for diabetic dilated eye exams within four different health systems participating in the MaineHealth Accountable Care Organizations (ACO). This research is valuable within the current US health care climate as health care providers have sought to evaluate the cost of care in terms of their value to payers. Moreover, many providers have elected to join the ACO in order to demonstrate better outcomes, improve the cost of care and to share programmatic content and tools to standardized care. Within this capstone, system level workflows and processes were evaluated ...


Vessel Extraction For As-Oct Angiography, Huazhu Fu, Yanwu Xu, Damon Wing Kee Wong, Marcus Ang, Suchandrima Das, Jiang Liu 2016 University of Iowa

Vessel Extraction For As-Oct Angiography, Huazhu Fu, Yanwu Xu, Damon Wing Kee Wong, Marcus Ang, Suchandrima Das, Jiang Liu

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

In this work, we propose a filter-based vessel segmentation method for Anterior Segment Optical Coherence Tomography Angiography image. In our method, the bandpass filter is utilized to suppress the horizontal noise lines caused by eye movement, while the curvedsupport Gaussian filter is utilized to enhance the vessel and generate the probability map.


Diabetic Macular Edema Grading Based On Deep Neural Networks, Baidaa Al-Bander, Waleed Al-Nuaimy, Majid A. Al-Taee, Bryan M. Williams, Yalin Zheng 2016 University of Iowa

Diabetic Macular Edema Grading Based On Deep Neural Networks, Baidaa Al-Bander, Waleed Al-Nuaimy, Majid A. Al-Taee, Bryan M. Williams, Yalin Zheng

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

Diabetic Macular Edema (DME) is a major cause of vision loss in diabetes. Its early detection and treatment is therefore a vital task in management of diabetic retinopathy. In this paper, we propose a new featurelearning approach for grading the severity of DME using color retinal fundus images. An automated DME diagnosis system based on the proposed featurelearning approach is developed to help early diagnosis of the disease and thus averts (or delays) its progression. It utilizes the convolutional neural networks (CNNs) to identify and extract features of DME automatically without any kind of user intervention. The developed prototype was ...


Automatic Optic Disc Abnormality Detection In Fundus Images: A Deep Learning Approach, Hanan S. Alghamdi, Hongying Lilian Tang, Saad A. Waheeb, Tunde Peto 2016 University of Iowa

Automatic Optic Disc Abnormality Detection In Fundus Images: A Deep Learning Approach, Hanan S. Alghamdi, Hongying Lilian Tang, Saad A. Waheeb, Tunde Peto

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

Optic disc (OD) is a key structure in retinal images. It serves as an indicator to detect various diseases such as glaucoma and changes related to new vessel formation on the OD in diabetic retinopathy (DR) or retinal vein occlusion. OD is also essential to locate structures such as the macula and the main vascular arcade. Most existing methods for OD localization are rule-based, either exploiting the OD appearance properties or the spatial relationship between the OD and the main vascular arcade. The detection of OD abnormalities has been performed through the detection of lesions such as hemorrhaeges or through ...


Retinal Image Quality Classification Using Neurobiological Models Of The Human Visual System, Dwarikanath Mahapatra 2016 University of Iowa

Retinal Image Quality Classification Using Neurobiological Models Of The Human Visual System, Dwarikanath Mahapatra

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

Retinal image quality assessment (IQA) algorithms use different hand crafted features without considering the important role of the human visual system (HVS). We solve the IQA problem using the principles behind the working of the HVS. Unsupervised information from local saliency maps and supervised information from trained convolutional neural networks (CNNs) are combined to make a final decision on image quality. A novel algorithm is proposed that calculates saliency values for every image pixel at multiple scales to capture global and local image information. This extracts generalized image information in an unsupervised manner while CNNs provide a principled approach to ...


Automated Tessellated Fundus Detection In Color Fundus Images, Mengdi Xu, Jun Cheng, Damon Wing Kee Wong, Ching-Yu Cheng, Seang Mei Saw, Tien Yin Wong 2016 University of Iowa

Automated Tessellated Fundus Detection In Color Fundus Images, Mengdi Xu, Jun Cheng, Damon Wing Kee Wong, Ching-Yu Cheng, Seang Mei Saw, Tien Yin Wong

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

In this work, we propose an automated tessellated fundus detection method by utilizing texture features and color features. Color moments, Local Binary Patterns (LBP), and Histograms of Oriented Gradients (HOG) are extracted to represent the color fundus image. After feature extraction, a SVM classifier is trained to detect the tessellated fundus. Both linear and RBF kernels are applied and compared in this work. A dataset with 836 fundus images is built to evaluate the proposed method. For linear SVM, the mean accuracy of 98% is achieved, with sensitivity of 0.99 and specificity of 0.98. For RBF kernel, the ...


Anterior Chamber Angle Assessment System, Huazhu Fu, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Mani Baskaran, Shamira A. Perera, Tin Aung 2016 University of Iowa

Anterior Chamber Angle Assessment System, Huazhu Fu, Yanwu Xu, Damon Wing Kee Wong, Jiang Liu, Mani Baskaran, Shamira A. Perera, Tin Aung

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

In this paper, we propose an automatic anterior chamber angle assessment system for Anterior Segment Optical Coherence Tomography (AS-OCT). In our system, the automatic segmentation method is used to segment the clinical structures, which are then used to recover standard clinical ACA measurements. Our measurements can not only support clinical assessments, but also be utilized as features for detecting anterior angle closure in automatic glaucoma diagnosis.


Motion Correction In Optical Coherence Tomography For Multi-Modality Retinal Image Registration, Jun Cheng, Jimmy Addison Lee, Guozhen Xu, Ying Quan, Ee Ping Ong, Damon Wing Kee Wong 2016 University of Iowa

Motion Correction In Optical Coherence Tomography For Multi-Modality Retinal Image Registration, Jun Cheng, Jimmy Addison Lee, Guozhen Xu, Ying Quan, Ee Ping Ong, Damon Wing Kee Wong

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

Optical coherence tomography (OCT) is a recently developed non-invasive imaging modality, which is often used in ophthalmology. Because of the sequential scanning in form of A-scans, OCT suffers from the inevitable eye movement. This often leads to mis-alignment especially among consecutive B-scans, which affects the analysis and processing of the data such as the registration of the OCT en face image to color fundus image. In this paper, we propose a novel method to correct the mis-alignment among consecutive B-scans to improve the accuracy in multi-modality retinal image registration. In the method, we propose to compute decorrelation from overlapping B-scans ...


Geometric Connectivity Analysis Based On Edge Co-Occurrences In Retinal Images, Samaneh Abbasi-Sureshjani, Jiong Zhang, Gonzalo Sanguinetti, Remco Duits, Bart ter Haar Romeny 2016 University of Iowa

Geometric Connectivity Analysis Based On Edge Co-Occurrences In Retinal Images, Samaneh Abbasi-Sureshjani, Jiong Zhang, Gonzalo Sanguinetti, Remco Duits, Bart Ter Haar Romeny

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

No abstract provided.


Artefacts Removal From Optical Coherence Tomography Angiography, Ee Ping Ong, Jun Cheng, Ying Quan, Guozhen Xu, Damon W.K. Wong 2016 University of Iowa

Artefacts Removal From Optical Coherence Tomography Angiography, Ee Ping Ong, Jun Cheng, Ying Quan, Guozhen Xu, Damon W.K. Wong

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

This paper presents a new approach for artefacts removal from optical coherence tomography angiography (OCTA). The artefacts mainly arise as a result of distortion due to eye movements during OCT scanning process. These distortions manifest themselves as visible motion artefacts when doctors review the enface image of OCTA data. To remove these artefacts, firstly we perform motion registration for the captured OCT volume data and subsequently perform motion correction to obtain the registered OCT data. Next, we compute the OCTA from the registered OCT data using an enhanced correlation mapping technique. Thereafter, we compute the enface image from the OCTA ...


Optic Cup Segmentation Using Large Pixel Patch Based Cnns, Yundi Guo, Beiji Zou, Zailiang Chen, Qi He, Qing Liu, Rongchang Zhao 2016 University of Iowa

Optic Cup Segmentation Using Large Pixel Patch Based Cnns, Yundi Guo, Beiji Zou, Zailiang Chen, Qi He, Qing Liu, Rongchang Zhao

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

Optic cup(OC) segmentation on color fundus image is essential for the calculation of cup-to-disk ratio and fundus morphological analysis, which are very important references in the diagnosis of glaucoma. In this paper we proposed an OC segmentation method using convolutional neural networks(CNNs) to learn from big size patch belong to each pixel. The segmentation result is achieved by classification of each pixel patch and postprocessing. With large pixel patch, the network could learn more global information around each pixel and make a better judgement during classification. We tested this method on public dataset Drishti-GS and achieved average F-Score ...


Infrastructure For Retinal Image Analysis, Behdad Dashtbozorg, Samaneh Abbasi-Sureshjani, Jiong Zhang, Fan Huang, Erik Bekkers, Bart ter Haar Romeny 2016 University of Iowa

Infrastructure For Retinal Image Analysis, Behdad Dashtbozorg, Samaneh Abbasi-Sureshjani, Jiong Zhang, Fan Huang, Erik Bekkers, Bart Ter Haar Romeny

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

This paper introduces a retinal image analysis infrastructure for the automatic assessment of biomarkers related to early signs of diabetes, hypertension and other systemic diseases. The developed application provides several tools, namely normalization, vessel enhancement and segmentation, optic disc and fovea detection, junction detection, bifurcation/crossing discrimination, artery/vein classification and red lesion detection. The pipeline of these methods allows the assessment of important biomarkers characterizing dynamic properties of retinal vessels, such as tortuosity, width, fractal dimension and bifurcation geometry features.


Bridging Disconnected Curvilinear Structures Via Numerical Evolutions Of Completion Process In Ophthalmologic Images, Jiong Zhang, Erik Bekkers, Samaneh Abbasi-Sureshjani, Behdad Dashtbozorg, Bart ter Haar Romeny 2016 University of Iowa

Bridging Disconnected Curvilinear Structures Via Numerical Evolutions Of Completion Process In Ophthalmologic Images, Jiong Zhang, Erik Bekkers, Samaneh Abbasi-Sureshjani, Behdad Dashtbozorg, Bart Ter Haar Romeny

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

No abstract provided.


Evaluation Of The Areas Involved In Visual Cortex In Parkinson's Disease Using Diffusion Tensor Imaging, Somayeh Mohammadi Jooyandeh, Aida Kamalian, Sepideh Shiranvand, Mahsa Dolatshahi, Mohammad Hadi Shadmehr, Thomas C. Baghai, Farzaneh Rahmani, Ahmad Shojaie, Mohammad H. Aarabi 2016 University of Iowa

Evaluation Of The Areas Involved In Visual Cortex In Parkinson's Disease Using Diffusion Tensor Imaging, Somayeh Mohammadi Jooyandeh, Aida Kamalian, Sepideh Shiranvand, Mahsa Dolatshahi, Mohammad Hadi Shadmehr, Thomas C. Baghai, Farzaneh Rahmani, Ahmad Shojaie, Mohammad H. Aarabi

Proceedings of the Ophthalmic Medical Image Analysis International Workshop

Parkinson's disease (PD) is a progressive neurodegenerative disorder assumed to involve different areas of CNS and PNS. In PD patients and in primates with experimental Parkinsonism indicating that retinal dopamine deficiency is an important factor in the pathogenesis of PD visual dysfunction. Visual signs and symptoms of PD may include defects in eye movement, pupillary function, and in more complex visual tasks. In this study, we evaluated the areas involved in visual cortex in PD by diffusion tensor imaging to assess the structural change in PD.


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