A technique to generate a three-dimensional (3D) data visualization from multi-dimensional data. A data set may be grouped into multiple groups based on a function. Data members of the groups may be mapped to respective 3D volumes via graphic elements. A value of the function for each data...
This structure dictates mass-transport and, hence, performance losses3, but its complexity renders three-dimensional visualization of the interactions of the catalyst layer components very challenging across the spectrum of imaging methodologies. The location of the nanosized metallic catalysts on the ...
New sample preparation and high-throughput light-sheet microscopy techniques1are increasingly capable of generating multidimensional (3D and higher) images easily exceeding the terabyte size. This has posed a significant challenge for scalable interactive visualization and quantitative annotation of such big ...
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Three-dimensional (3D) visualization involves feature extraction and 3D reconstruction of CT images using a computer processing technology. It is a tool fo
X-ray computed tomography (CT) allows us to visualize root system architecture (RSA) beneath the soil, non-destructively and in a three-dimensional (3-D) form. However, CT scanning, reconstruction processes, and root isolation from X-ray CT volumes, take considerable time. For genetic analyses...
Virtual reality (VR) is a novel tool that allows true three-dimensional visualization and manipulation. The aims of this study were to test the feasibility of converting 3DE and CCT data into three-dimensional VR models, compare the variability of measurements performed in VR and conventional ...
which is limited by the conventional two-dimensional (2-D) characterization methods. Here, we demonstrate the visualization of the dentin occlusion via three-dimensional (3-D) characterization using a focused ion beam-scanning electron microscopy (FIB-SEM) tomography. Using the “Slice and View” ...
Several pathologic conditions of the heart lead to cardiac structural remodelling. Given the high density and the opaque nature of the myocardium, deep three dimensional (3D) imaging is difficult to achieve and structural analysis of pathological myocard
fundamental frequency, 2f, to provide a measure of the amplitude of the fringes; and recording the fringe amplitude at each volume element, voxel, during the scan of the sample resulting in a three-dimensional data set that is volume-rendered to provide a three-dimensional visualization of the...