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Scanning methods are particularly relevant to studies involving large numbers of individuals.
For diseases with rare CNMs, commercials kits such as MLPA are not available and scanning methods are represented by 'home made' techniques such as semi-quantitative-fluorescent-PCR (QF-PCR) and real-time quantitative-PCR (Q-PCR) that are time consuming for implementation.
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Computer tomography (CT) and microCT scanning methods were originally developed for use by the medical profession as a diagnostic tool to obtain a 3D image in a non-destructive manner (Stuppy et al. 2003; Staedler et al. 2013).
Many other regulatory elements are also characterized by short sequence motifs, and so identification of these elements through straightforward sequence scanning methods is subject to the same problem.
These three scanning methods were investigated to compare slower methods of scanning, which use a larger sample size and optical glass containers, with a faster method using containers of lesser quality and sample size.
The major disadvantage of most scanning methods is that they require post-PCR product manipulation which, in addition to the increased workload, also carries the potential risks of sample misidentification and contamination [ 7, 8].
In this paper the SNRs of the Hadamard method and scanning method are analyzed.
The different bit rates in the proposed bitplanewise zigzag scanning method are obtained at each scan of the bitplanes.
An adaptive local scanning method was developed to minimizing the time needed for this scanning.
Continuous Scanning method is a novel approach of using contactless transducers for measuring vibrations.
By considering this phenomenon, the bitplanewise zigzag scanning method is proposed to increase the quantization level for each transform coefficient.
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