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In the proposed approac,h however, the AOIs imply the different set of areas from where the UE measurements are considered in the statistics calculations used by the sleeping cell detection algorithm, being automatically generated for each small cell, and having a much reduce size (a few meters).
A set of static 3D gray-scale images was used to test the cell detection algorithm.
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The software then divides the ROI into NxM cell grid, runs edge detection algorithm in each cell, and fits a circle with radius R to the detected edges to identify the border of the zone.
All images were quantified using Elements: nuclei were identified using Spot Detection algorithm; cells expressing LC3 or positive for any of the other immunofluorescence markers were identified using Detect Regional Maxima algorithm, followed by global thresholding.
In particular, we presented two novel techniques; the RPHC algorithm for cell detection, and multi-cell tracking based on the MRF.
Table 2 shows the truth table of all 16 events in the sample space of comparisons of individual protein-protein interactions between HeLa cells and normal cells, as determined with our AIC detection algorithm.
When applying an edge detection algorithm to investigate cells for inhomogeneities in subcellular protein distributions, we found that in control cells XIAP was homogeneously distributed within the cytosol, whereas areas with slightly increased XIAP concentrations could be detected after TRAIL/CHX or STS treatment (Supplementary Figure 2A).
However, existing algorithms for microscopy cell detection usually ignore the large variations of cells and only focus on the shape feature/descriptor design.
This is achieved by dividing the tetrahedral cells locally, guided by a flow feature detection algorithm.
Plates were scanned at 2400 dpi and the colony detection algorithm was customized for each cell type and culture time.
Every time the network KPIs are updated, a detection algorithm has to check if any cell from the controlled network is affected by a failure.
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