دورية أكاديمية
AS-OCT and Ocular Hygrometer as Innovative Tools in Dry Eye Disease Diagnosis
العنوان: | AS-OCT and Ocular Hygrometer as Innovative Tools in Dry Eye Disease Diagnosis |
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المؤلفون: | Daniele Gaudenzi, Tommaso Mori, Salvatore Crugliano, Antonella Grasso, Carlo Frontini, Antonella Carducci, Siddharth Yadav, Roberto Sgrulletta, Emiliano Schena, Marco Coassin, Antonio Di Zazzo |
المصدر: | Applied Sciences, Vol 12, Iss 3, p 1647 (2022) |
بيانات النشر: | MDPI AG, 2022. |
سنة النشر: | 2022 |
المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Biology (General) LCC:Physics LCC:Chemistry |
مصطلحات موضوعية: | dry eye disease, AS-OCT, ocular hygrometer, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
الوصف: | Dry eye disease (DED) is one of the conditions that most commonly leads patients to visit an ophthalmologist. Fast and accurate diagnosis relieves patient discomfort and spares them from long-term effects on the ocular surface. Many tests used in the diagnosis of DED may be considered subjective as they rely on an experienced observer for image interpretation, resulting in variations in diagnosis. On one hand, the non-contact nature of the anterior segment optical coherence tomography (AS-OCT) device and its rapid image acquisition enable the measurement of the tear meniscus parameter without reflex tearing. On the other hand, an ocular hygrometer allows a rapid, safe, but also efficient, analysis and is associated with low costs and the repeatability of the procedure. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2076-3417 |
العلاقة: | https://www.mdpi.com/2076-3417/12/3/1647Test; https://doaj.org/toc/2076-3417Test |
DOI: | 10.3390/app12031647 |
الوصول الحر: | https://doaj.org/article/d3b2c4b21717465282927ce2b0c03c04Test |
رقم الانضمام: | edsdoj.3b2c4b21717465282927ce2b0c03c04 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20763417 |
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DOI: | 10.3390/app12031647 |