Results 11 to 20 of about 2,574 (220)

Anterior segment optical coherence tomography meibography compared with keratograph meibography

Ophthalmic and Physiological Optics, 2023
Abstract Purpose The aim of this study was to determine the feasibility of using readily accessible technology, anterior segment optical coherence tomography (AS‐OCT), to detect and grade meibomian gland dropout and examine its interchangeability with the Oculus Keratograph 5M (K5M).
Amanda K. Edgar, Heather R. M. Connor, Shayma Kamarelddin, Jack Musich, Stefanos Mclouta, Evelyn Choi, Afnan Thamer, Adrian Salcedo, Aram Nazarian, Luke X. Chong   +9 more
wiley   +4 more sources

Evaluation of ocular psoriasis with meibography [PDF]

Anais Brasileiros de Dermatologia, 2022
Background: Previous studies has shown that dry eye test abnormalities, meibomian gland dysfunction (MGD), may occur in psoriasis. Objectives: The authors aimed to evaluate the dry eye disease (DED), MGD, in psoriasis patients with meibography which is ...
Funda Kemeriz, Burcu Tugrul, Erdogan Yasar   +2 more
doaj   +6 more sources

Predicting demographics from meibography using deep learning [PDF]

Scientific Reports, 2022
This study introduces a deep learning approach to predicting demographic features from meibography images. A total of 689 meibography images with corresponding subject demographic data were used to develop a deep learning model for predicting gland ...
Jiayun Wang, Andrew D. Graham, Stella X. Yu, Meng C. Lin   +3 more
doaj   +6 more sources

Association of Eyelid Margin Thickness and Meibography in Dogs With Meibomian Gland Dysfunction. [PDF]

Vet Ophthalmol
Objective To measure the eyelid margin thickness (LMT) in dogs with meibomian gland dysfunction (MGD) and evaluate its correlation with meibomian gland (MG) morphology. Animals Studied Fifty‐nine client‐owned dogs.
Kim G, Kang S, Seo J, Seo K.
europepmc   +3 more sources

Noncontact Meibography in Patients with Keratoconus

Journal of Ophthalmology, 2019
Purpose. To examine the morphological changes in the meibomian glands of patients with keratoconus as well as to study the relationship between these changes in the morphology and several tear film parameters. Methods. Examination of the meibomian gland (
Engy Mohamed Mostafa, Marwa Mahmoud Abdellah, Ashraf Mostafa Elhawary, Amr Mounir   +3 more
doaj   +4 more sources

Red filter meibography by smartphones in patients with meibomian gland dysfunction: a validity and reliability study

BMJ Open Ophthalmology
Objective The objective of this study is to determine the validity and reliability of the red filter meibography by smartphone compared with infrared in assessing meibomian gland drop-out.Methods and analysis An analytical cross-sectional study was done ...
Rina La Distia Nora, Ratna Sitompul, Aria Kekalih, Gisela Haza Anissa, Syska Widyawati, Prasandhya Astagiri Yusuf   +5 more
doaj   +3 more sources

A Review of Meibography

Optometry and Vision Science, 2012
ABSTRACT Meibomian gland dysfunction is one of the most common causes of dry eye resulting in morphology changes to the meibomian glands. Meibography provides an in vivo means to assess the structure of the meibomian gland. Over the past 40 years, meibography has undergone significant development regarding its application to research ...
Heiko, Pult, Jason J, Nichols
openaire   +3 more sources

Meibography Phenotyping and Classification From Unsupervised Discriminative Feature Learning [PDF]

Translational Vision Science & Technology, 2021
The purpose of this study was to develop an unsupervised feature learning approach that automatically measures Meibomian gland (MG) atrophy severity from meibography images and discovers subtle relationships between meibography images according to visual similarity.One of the latest unsupervised learning approaches is to apply feature learning based on
Yeh, Chun-Hsiao, Yu, Stella X, Lin, Meng C   +2 more
openaire   +5 more sources

Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography

Optometry and Vision Science, Volume 102, Issue 1, Page 28-36, January 2025.
SIGNIFICANCE Optimal meibography utilization and interpretation are hindered due to poor lid presentation, blurry images, or image artifacts and the challenges of applying clinical grading scales.
Charles D. Scales, J. Bai, David Murakami, Joshua A Young, D. Cheng, Preeya K Gupta, Casey Claypool, E. Holland, David Kading, Whitney Hauser, Leslie O'Dell, E. Osae, Caroline A. Blackie   +12 more
semanticscholar   +2 more sources

Effect of illuminating wavelength on the contrast of meibography images [PDF]

OSA Continuum, 2018
Evaluation of the Meibomian glands morphology is becoming a popular assessment for dry eye. This evaluation is usually done by imaging the glands on the everted lids while they are illuminated with infrared light. Nowadays techniques to determine gland condition and dropout are based on grading scales with which meibography images are subjectively ...
Assumpta Peral, Jose Alonso, Jose A. Gomez-Pedrero   +2 more
openaire   +3 more sources