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Local scans of mQTL were then performed for SNPs <100 Kb away from the target CpG sites.
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In "Adaptive local scanning" section, we continue to improve the microscopy system by developing and implementing an adaptive local scanning for the PSD.
An adaptive local scanning method was developed to minimizing the time needed for this scanning.
Tube current modulation techniques were employed as defined in the local scan protocols.
Later to improve the scanning efficiency, we developed an adaptive local scanning system to scan the whole area of the PSD in a short matter of time.
When abnormal points represent intersections and bifurcations on the object, a new local scanning will be started from those points.
Once the initial search path meets any point of the object, the second stage will start our adaptive local scanning from the scanned point.
In addition, compared to other existing local scanning methods that need a preparation or an initial scanning to know some prior information of objects before a regular local scanning, our method does not rely on any prior information about objects but points scanned online during the scanning.
Obviously, this great improvement is only achievable by using local scanning and in this case, an intelligent comprehensive method that covers all the situations of different objects.
Although a traditional scanning (or raster scanning) needs to scan every pixel of an area to find the object on the surface of the PSD, we suggested an adaptive local scanning to minimizing the time needed for this scanning.
It was validated that our comprehensive and adaptive local scanning method can shorten the scanning time in order of hundreds of times in comparison with the traditional raster scanning without losing any important information about the scanned 2D objects.
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