17 research outputs found

    Computational simulation of Haidinger's brushes

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    Haidinger's brushes (HB) are entoptic phenomena resulting from differential absorption of linear polarized light by the human macula. Computational models have assisted in understanding the behavior of these subjective phenomena but have been limited in their application. This study presents a revised computational model that incorporates known determinants of the form and behavior of HB. The model generates both static and animated simulations of HB that can be quantified by their density, contrast, and radial/circumferential extent. Measured physiological parameters are used to demonstrate the dependency of HB on macular pigment (MP) density, MP distribution, and ocular retardation. Physiological variations in these parameters explain the reported variations in the perception of HB

    Haidingerā€™s brushes elicited at varying degrees of polarization rapidly and easily assesses total macular pigmentation

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    Macular pigments (MPs), by absorbing potentially toxic short-wavelength (400ā€“500Ā nm) visible light, provide protection against photo-chemical damage thought to be relevant in the pathogenesis of age-related macular degeneration (AMD). A method of screening for low levels of MPs could be part of a prevention strategy for helping people to delay the onset of AMD. We introduce a new method for assessing MP density that takes advantage of the polarization-dependent absorption of blue light by MPs, which results in the entoptic phenomenon called Haidingerā€™s brushes (HB). Subjects were asked to identify the direction of rotation of HB when presented with a circular stimulus illuminated with an even intensity of polarized white light in which the electric field vector was rotating either clockwise or anti-clockwise. By reducing the degree of polarization of the stimulus light, a threshold for perceiving HB (degree of polarization threshold) was determined and correlated (r2=0.66) to macular pigment optical density assessed using dual-wavelength fundus autofluoresence. The speed and ease of measurement of degree of polarization threshold makes it well suited for large-scale screening of macular pigmentation

    Poly(vinylidene fluoride) (PVDF) Binder Degradation in Liā€“O<sub>2</sub> Batteries: A Consideration for the Characterization of Lithium Superoxide

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    We show that a common Liā€“O<sub>2</sub> battery cathode binder, polyĀ­(vinylidene fluoride) (PVDF), degrades in the presence of reduced oxygen species during Liā€“O<sub>2</sub> discharge when adventitious impurities are present. This degradation process forms products that exhibit Raman shifts (āˆ¼1133 and 1525 cm<sup>ā€“1</sup>) nearly identical to those reported to belong to lithium superoxide (LiO<sub>2</sub>), complicating the identification of LiO<sub>2</sub> in Liā€“O<sub>2</sub> batteries. We show that these peaks are not observed when characterizing extracted discharged cathodes that employ polyĀ­(tetrafluoroethylene) (PTFE) as a binder, even when used to bind iridium-decorated reduced graphene oxide (Ir-rGO)-based cathodes similar to those that reportedly stabilize bulk LiO<sub>2</sub> formation. We confirm that for all extracted discharged cathodes on which the 1133 and 1525 cm<sup>ā€“1</sup> Raman shifts are observed, only a 2.0 e<sup>ā€“</sup>/O<sub>2</sub> process is identified during the discharge, and lithium peroxide (Li<sub>2</sub>O<sub>2</sub>) is predominantly formed (along with typical parasitic side product formation). Our results strongly suggest that bulk, stable LiO<sub>2</sub> formation via the 1 e<sup>ā€“</sup>/O<sub>2</sub> process is not an active discharge reaction in Liā€“O<sub>2</sub> batteries
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