A significant bottleneck in using SHAPE is the complex and time-consuming data processing that is required.
These advantages come with a considerable initial investment, expansive reagents, low turn-around time, and a time-consuming data processing and evaluation step, making it primarily a research tool.
It may be that the improvements in data quality gained from a highly time-consuming data processing are not worthwhile; however, the impact on the precision of the exposure variables would need to be considered in light of the aims of a particular study.
Time-consuming data-processing tasks are allocated to compute nodes connected to the same network, while the visualization and interaction operations are executed on a high-performance graphics workstation.
The RT-DSP board is a Physical Sciences, Inc. (PSI) custom design and it performs all the time consuming signal processing steps for the OCT data (FFT transform, linear interpolation, and dispersion compensation).
In order to avoid time consuming processing of multiple data sets, data reduction is carried out automatically and therefore, once the experiment has been designed, it can be left to run with no further human input.
Furthermore the model prevents time consuming manual data entry.
However, all of these methods require complicated hardware, data and image processing software and/or time-consuming data acquisition procedures.
All processing operations required to build the skeletal models from raw LiDAR data can be performed automatically by software programs (e.g. PolyWorks, RiSCAN PRO), allowing mathematically complex and time consuming processes to be carried out rapidly and efficiently.
This is the context in which nearly three-quarters of companies have admitted that they collect data but never use it, with half saying this is because data processing is too time consuming and a fifth saying it is because it is too expensive to process.
