Coherence scanning interferometry is an established optical method that is able to measure the shape of objects with high precision. The surface of the object to be measured can be both optically smooth and optically rough. However, a major limitation of coherence scanning interferometry is that the object to be measured must mechanically move relative to the measuring device during the measurement procedure. We introduce an optical measurement method based on coherence scanning interferometry that is able to measure without the mechanical movement between the measured object and the measuring device. The suggested solution is that the reference plane moves. The imaging system includes an electrically focus-tunable lens. This lens ensures that the measured part of the object is sharply imaged during the measurement procedure.
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http://dx.doi.org/10.1364/AO.58.000G91 | DOI Listing |
Retina
January 2025
Department of Ophthalmology, Columbia University Irving Medical Center, New York, NY, USA.
Purpose: To describe an accessible method of structure-function correlation using optical coherence tomography (OCT) and virtual reality perimetry (VRP) for patients with retinal disease and glaucoma and to compare results with those of conventional Humphrey visual fields (HVF).
Methods: Patients with a diagnosis of glaucoma involving the central visual field or macula-involving retinal disease were recruited. Patients underwent ophthalmic examination followed by OCT imaging, HVF, and VRP testing.
Invest Ophthalmol Vis Sci
January 2025
Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States.
Purpose: Aqueous humor inflow rate, a key parameter influencing aqueous humor dynamics, is typically measured by fluorophotometry. Analyzing fluorophotometric data depends, inter alia, on the volume of aqueous humor in the anterior chamber but not the posterior chamber. Previous fluorophotometric studies of the aqueous inflow rate in mice have assumed the ratio of anterior:posterior volumes in mice to be similar to those in humans.
View Article and Find Full Text PDFBioengineering (Basel)
November 2024
Department of Ophthalmology, University of Pittsburgh Medical Center, Pittsburgh, PA 15219, USA.
Eye diseases such as age-related macular degeneration (AMD) are major causes of irreversible vision loss. Early and accurate detection of these diseases is essential for effective management. Optical coherence tomography (OCT) imaging provides clinicians with in vivo, cross-sectional views of the retina, enabling the identification of key pathological features.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast BT9 5BN, UK.
: Age-related macular degeneration (AMD) is a significant cause of vision loss in older adults, often progressing without early noticeable symptoms. Deep learning (DL) models, particularly convolutional neural networks (CNNs), demonstrate potential in accurately diagnosing and classifying AMD using medical imaging technologies like optical coherence to-mography (OCT) scans. This study introduces a novel CNN-based DL method for AMD diagnosis, aiming to enhance computational efficiency and classification accuracy.
View Article and Find Full Text PDFRetina
January 2025
Department of Ophthalmology, Amsterdam UMC, Amsterdam, The Netherlands.
Purpose: To evaluate the presence and progression of maculopathy in patients with sickle cell disease (SCD) using Optical Coherence Tomography (OCT) and OCT-Angiography (OCTA), and to identify clinical/laboratory risk factors for progression during follow-up.
Methods: Complete ophthalmic examination, including fundoscopy and macular SD-OCT/OCTA scans, was performed in consecutive SCD-patients (HbSS/HbSβ0/HbSβ+/HbSC genotype) during baseline and follow-up visits. SCR stage was based on fundoscopy instead of the Goldberg classification, since fluorescein angiography was not routinely used.
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