The methodology used for the amplification of the signal has a large impact on the linear relationship between target and detected signal, with not all signal amplification methods being amenable to direct quantization.
Although layer-wise slurry deposition/extrusion (LSD/E) methods are amenable to scale-up and offer versatility in terms of the materials that can be printed (i.e., "inks" that can be used), there is a lack of quantitative metrics to assess the geometrical attributes of printed components vis-à-vis their 3D-CAD (computer-aided design) inputs.
Both of these methods are amenable to measurements on an ensemble of molecules as well as at the single molecule level, in live cells and in high throughput screening assays, providing a powerful set of tools to aid in the design and testing of new drugs under a variety of experimental conditions.
Throughout all the experiments, M4 and M5 were very robust and easy to use and as they are based on column-based DNA extraction, both methods are amenable to automation.
Both methods were amenable to indel and larger SV determination, and similar numbers were observed within the region of interest.
We demonstrate that these methods are amenable to analysis in both individual neuronal classes and individual neurons.
Additionally, Monte Carlo methods are amenable to biasing the sampling space based on known data to improve results; however, this is expected to incur a corresponding cost in convergence time.
These methods are amenable to automation, and in the United States and several other countries the process of searching for new recessives is now a part of the genomic evaluation system.
However, none of these methods are amenable to straightforward measurement of autophagy in individual cells and none of them can directly measure flux of autophagic cargo through the autophagy pathway.
Evolutionary computing methods are amenable to ('coarse-grained') parallelisation that allows them to run on many (hundreds or even thousands of) processors simultaneously, and we have used this approach with great effectiveness (Wedge and Kell 2008; Wedge et al. 2009).
