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Importantly, the modular outputs of the current implementation can be easily replaced with any gene product (e.g., custom transcription activator-like effectors), thereby allowing for a multiplexed interface with a diverse array of cellular functions.
This implementation can be easily extended to an arbitrary number of steps by modifying the update function in order to read previous probabilities from p1 during the odd iterations and from p2 during the even iterations (and writing the current probability in the other variable).
In the deconvolution step, the deconvolution of different voxels are ideally parallel tasks, so that there is little effort required to separate the problem into parallel tasks and there is no dependency or communication between those parallel tasks, parallel implementation can be easily achieved.
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The presented formulations and implementations can be easily extended to the multi-material medium where the voids are replaced by inclusions of various shapes and sizes, and to the case of the elasticity problem.
The implementation of the ClASS framework can be labor- and cost-intensive, but the well-articulated implementation processes can be easily tailored to suit time and resource constraints.
In addition, we provide an implementation that can be easily deployed on common smartphone platforms.
Because the same trapezoidal rule is used for basic computations and post-processing, the new technique retains all of the properties of the trapezoidal rule, requires no writing of a new computer program for its implementation, and can be easily used with any existing commercial and research codes for elastodynamics.
Due to its implementation, our approach can be easily applicable to a common OS.
Another interesting feature of our implementation is that it can be easily scaled to fit on larger FPGAs.
In addition to that, digital implementation of the proposed controller can be easily done considering the fact that the discrete Kalman filter is exact.
Final ASIC implementation for the given sensor conditioning can be easily derived with reduced risk and short development time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com