Purpose: To determine the relative contributions of optical and non-optical sources of intrinsic blur to variations in visual acuity (VA) among normally sighted subjects.
Methods: Best-corrected VA of 16 normally sighted subjects was measured using briefly presented (59 ms) tumbling E optotypes that were either unblurred or blurred through convolution with Gaussian functions of different widths. A standard model of intrinsic blur was used to estimate each subject's equivalent intrinsic blur (σint) and VA for the unblurred tumbling E (MAR0). For 14 subjects, a radially averaged optical point spread function due to higher-order aberrations was derived by Shack-Hartmann aberrometry and fit with a Gaussian function. The standard deviation of the best-fit Gaussian function defined optical blur (σopt). An index of non-optical blur (η) was defined as 1 - σopt/σint. A control experiment was conducted on five subjects to evaluate the effect of stimulus duration on MAR0 and σint. RESULTS.: The logarithm of the minimum angle of resolution (logMAR₀) for the briefly presented E was correlated significantly with log σint (r = 0.95, p < 0.01), consistent with previous work. However, logMAR₀ was not correlated significantly with log σopt (r = 0.46, p = 0.11). For subjects with logMAR₀ equivalent to ~20/20 or better, logMAR₀ was independent of log η, whereas for subjects with larger logMAR₀ values, logMAR₀ was proportional to log η. The control experiment showed a statistically significant effect of stimulus duration on logMAR₀ (p < 0.01) but a non-significant effect on σint (p = 0.13).
Conclusions: The relative contributions of optical and non-optical blur to VA varied among the subjects and were related to the subject's VA. Evaluating optical and non-optical blur may be useful for predicting changes in VA following procedures that improve the optics of the eye in patients with both optical and non-optical sources of VA loss.
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http://dx.doi.org/10.1097/OPX.0b013e3182147202 | DOI Listing |
Nat Commun
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School of Applied and Engineering Physics, Cornell University, Ithaca, NY, USA.
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View Article and Find Full Text PDFACS Appl Nano Mater
December 2024
Mechanical Engineering & Materials Science, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.
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View Article and Find Full Text PDFRSC Chem Biol
December 2024
Univ. Lille, CNRS, UMR 8576 - UGSF - Unité de Glycobiologie Structurale et Fonctionnelle Lille France
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View Article and Find Full Text PDFUnlabelled: Many fundamental insights into microbiology have come from imaging, which is typically synonymous with optical techniques. However, the sample preparation needed for many optical microscopy methods such as labeling, fixing, or genetic modification, limits the range of species and environments we can investigate. Here we demonstrate the use of electrical capacitance measurements as a non-optical method for imaging live microbial samples.
View Article and Find Full Text PDFSensors (Basel)
August 2024
Department of Signal Theory, Communications and Telematics Engineering, University of Valladolid, 47011 Valladolid, Spain.
Physiotherapy plays a crucial role in the rehabilitation of damaged or defective organs due to injuries or illnesses, often requiring long-term supervision by a physiotherapist in clinical settings or at home. AI-based support systems have been developed to enhance the precision and effectiveness of physiotherapy, particularly during the COVID-19 pandemic. These systems, which include game-based or tele-rehabilitation monitoring using camera-based optical systems like Vicon and Microsoft Kinect, face challenges such as privacy concerns, occlusion, and sensitivity to environmental light.
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