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Light weight and small dimensions are some of the most important characteristics of near-to-eye displays (NEDs). These displays consist of two basic parts: a microdisplay for generating an image and supplementary optics in order to see the image. Nowadays, the pixel size of microdisplays may be less than 4 μm, which makes the supplementary optics the major factor in defining restrictions on a NED dimensions or at least on the distance between the microdisplay and the eye. The goal of the present work is to find answers to the following two questions: how small this distance can be in principle and what is the microdisplay maximum resolution that stays effective to see through the supplementary optics placed in immediate vicinity of the eye. To explore the first question, we consider an aberration-free magnifier, which is the initial stage in elaboration of a real optical system. In this case, the paraxial approximation and the transfer matrix method are ideal tools for simulation of light propagation from the microdisplay through the magnifier and the human eye's optical system to the retina. The human eye is considered according to the Gullstrand model. Parameters of the magnifier, its location with respect to the eye and the microdisplay, and the depth of field, which can be interpreted as the tolerance of the microdisplay position, are determined and discussed. The second question related to the microdisplay maximum resolution is investigated by using the principles of wave optics.
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http://dx.doi.org/10.1364/AO.54.006526 | DOI Listing |
Photonix
December 2024
Department of Biomedical Engineering, Texas A&M University, College Station, 77843 TX USA.
Unlabelled: Holography is an essential technique of generating three-dimensional images. Recently, quantum holography with undetected photons (QHUP) has emerged as a groundbreaking method capable of capturing complex amplitude images. Despite its potential, the practical application of QHUP has been limited by susceptibility to phase disturbances, low interference visibility, and limited spatial resolution.
View Article and Find Full Text PDFHereditas
December 2024
Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, No. 1, Dongjiaomin Lane, Dongcheng District, Beijing, 100730, China.
Background: Age-related macular degeneration (AMD) is the leading cause of visual impairment in the elderly population. Accumulating evidence has revealed the possible association between metabolites and AMD. This study aimed to assess the effect of plasma metabolites on AMD and its two subtypes using a bidirectional two-sample Mendelian randomization approach.
View Article and Find Full Text PDFJ Fluoresc
December 2024
Department of Chemistry, School of Advanced Sciences, Vellore Institute of Technology, 632 014, Vellore, Tamil Nadu, India.
The research article details the synthesis of chalcone-chromone-based scaffolds via multicomponent reactions. These compounds were characterized using conventional spectroscopic methods, including NMR (H and C), FT-IR, and HR-MS. Among the synthesized scaffolds, AZBNPy stood out, exhibiting exceptional DNA and protein targeting capabilities with superior binding parameters.
View Article and Find Full Text PDFInt Ophthalmol
December 2024
Eye Clinic, University of Health Sciences Umraniye Training and Research Hospital, 34766, Umraniye, Istanbul, Turkey.
Background: To execute comprehensive study about optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) findings in fibromyalgia (FM) to elaborate macula, optic disk changes.
Methods: A total of 84 participants comprising 44 FM patients and 40 healthy controls were included. Macular full thickness, retinal nerve fiber layer (RNFL), ganglion cell layer (GCL)+, GCL++, superficial vessel density (SVD), deep vessel density (DVD), foveal avascular zone (FAZ), circumpapillary vessel density (cpVD), RNFL measurements were evaluated using OCT/OCTA.
Eye (Lond)
December 2024
Department of Ophthalmology, Harvey and Bernice Jones Eye Institute, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Background/objectives: Dry eye disease (DED) is an exceedingly common diagnosis in patients, yet recent analyses have demonstrated patient education materials (PEMs) on DED to be of low quality and readability. Our study evaluated the utility and performance of three large language models (LLMs) in enhancing and generating new patient education materials (PEMs) on dry eye disease (DED).
Subjects/methods: We evaluated PEMs generated by ChatGPT-3.
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