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The fast pixel mapping algorithm described in [49] was used in the experiments.
3D colour reconstructions of the seafloor have been generated using the mapping algorithm described in [4], that has been adapted for long range mapping using multiple synchronised flashes and a high power sheet laser for seafloor illumination and bathymetric measurements, respectively.
This study overcomes these technical challenges and realises such a system by extension of the long-baseline structured light and colour mapping algorithm described in [4] to use imagery from a separate, high-sensitivity colour camera synchronised with a high-power strobe.
The Analysis layer is implemented using the R environment and executes the mapping algorithm described previously.
For more details, see Additional files 1 and 2. A total of 552318 SNPs were mapped using the hierarchical mapping algorithm described in the "Methods" section.
Together, these data provide us with further confidence in the reproducibility of the amplification methodology and the mapping algorithm described in this study.
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Using a Gauss map algorithm described elsewhere, the method is implemented in the context of bicubic Bézier surfaces, and applied to the problem of minimizing the greatest scallop height incurred in contour machining of surfaces using a 3-axis milling machine with a ball-end cutter.
Based on the calculated matrices of rm and rf values for all pairs of markers, we constructed the corresponding female and male maps using the algorithm described in Mester et al. (2003), with some modifications caused by the special features of intercross data.
In order to build the 3D structures of the different genomes from the chromosomal contact maps we used the algorithm described in Lesne et al. (2014).
As a representative device of this category, the SCAMP-3 Vision Chip was selected to map the retinal vessel tree extraction algorithm described in Section 2. The SCAMP-3 Vision Chip prototype [28] is a 128 × 128 px cellular processor array.
This section describes RM-DCWF's matchmaking and scheduling algorithm (also referred to as the mapping algorithm), which is composed of two sub-algorithms: (1) the Job Mapping algorithm (discussed in Section "Job Mapping Algorithm") and (2) the Job Remapping algorithm (described in Section "Job Remapping Algorithm").
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