D
Donald D. Duncan
Researcher at Portland State University
Publications - 34
Citations - 1069
Donald D. Duncan is an academic researcher from Portland State University. The author has contributed to research in topics: Speckle pattern & Mueller calculus. The author has an hindex of 16, co-authored 34 publications receiving 922 citations. Previous affiliations of Donald D. Duncan include Johns Hopkins University Applied Physics Laboratory.
Papers
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Journal ArticleDOI
Laser speckle contrast imaging: theoretical and practical limitations
David Briers,Donald D. Duncan,E. R. Hirst,Sean J. Kirkpatrick,Marcus Larsson,Wiendelt Steenbergen,Tomas Strömberg,Oliver Thompson +7 more
TL;DR: LSCI is used primarily to map flow systems, especially blood flow, and its limitations and problems are investigated.
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Racial differences in lens opacities: The Salisbury Eye Evaluation (SEE) Project
TL;DR: With lower rates of nuclear and PSC opacities than Caucasians, African Americans may have a lower demand for cataract surgery, but there is still significant unnecessary loss of vision among older African Americans, for whom programs to ensure access to surgical care are indicated.
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Evaluation of Hot Pressing and Hot Isostastic Pressing Parameters on the Optical Properties of Spinel
TL;DR: In this paper, the effect of different hot pressing and hot isostatic pressing (HIP) temperatures and pressures on the optical properties of spinel was studied, and it was shown that the relative size of the scattering sites was large compared with the wavelengths of light (0.35-5.5 μm).
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Urban and rural differences in older drivers' failure to stop at stop signs.
Lisa Keay,Srichand Jasti,Beatriz Munoz,Kathleen A. Turano,Cynthia A. Munro,Donald D. Duncan,Kevin C. Baldwin,Karen Bandeen-Roche,Emily W. Gower,Sheila K. West +9 more
TL;DR: In this cohort, older drivers residing in rural areas were less likely to stop at stop-sign intersections than those in urban areas, and those who have visual field loss appear to be more cautious at stop signs.
Journal Article
Digital image capture and automated analysis of posterior capsular opacification.
TL;DR: Digital retroillumination images of the posterior capsule can be obtained reliably, and automated analyses correlate well with clinical assessment, and the system is reliable, easy to use, and can detect small changes in the percentage area covered by posterior capsule opacification over time.