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SPARX (single particle analysis for resolution extension) is a new image processing environment with a particular emphasis on transmission electron microscopy (TEM) structure determination.
We present a major revision of the iterative helical real-space refinement (IHRSR) procedure and its implementation in the SPARX single particle image processing environment.
The initial steps of image processing and classification were performed using the Appion image processing environment (Lander et al., 2009).
Initial image processing steps up to the point of particle stack creation were performed in the Appion image processing environment (Lander et al., 2009).
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All image pre-processing and two-dimensional classification was performed in the Appion image-processing environment (Lander et al., 2009).
Organ volumes were then uploaded to the Delft Visualization and Image processing Development Environment for smoothing and surface rendering.
Organ volumes were exported to the Delft Visualization and Image processing Development Environment (DeVide) [12] for smoothing and surface rendering (Fig. 1c).
His research interests include embedded system design, SoC design, networking systems, application of image processing to mobile environments, and digital communication system design for mobile and ad-hoc networks.
Han et al. [7] demonstrated that implementing image processing in distributed computing environment reduced the execution time and achieved linear-speedups with increasing number of computing nodes.
It allows remote execution of complex processing flows completely designed and controlled by remote clients who are presented with mirror images of the server processing environment.
Some examples of applications are target detection in radar environments, image processing, medical engineering, power quality analysis, features detection in satellite images, Pseudo-Noise (PN) code detectors, among others.
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