- Drosophila larvae motility-displacement, calculate force/acceleration to sound pressure approximate location.
(The API will create maps that can scale to the size of values for experiment)
- Perform control measurements for each specimen studied and Examine perceived muscle resistance to sound pressure.
- Examine how the drosophila accelerates after repeated exposure to increased force to impede movement.
- Examine bidirectional resistance adaptation and acceleration by the larvae
- Drop sound pressure (pulse-chase), and examine at what force the larvae push
harder and at what point do the larvae start to accommodate with no sound pressure,then reapply sound pressure
adaptively to see if the larvae can build a higher frequency and or amplitude of forces
- Examine whether ECM or musculature is affected by sound pressures by iteratively applying sound,
further comparing controls (no sound pressures) to the experimental group (sound pressures).
- This experiment is based on the presumption that ECM structural changes will positively correlate
to motility. By altered force transduction in the surrounding ECM structure, muscles contract in a particular
way regardless of low to high levels of force exertion, as the muscles rely on the ECM to exert and extend the contraction.
- Then examine the difference between the pressure (air) exerted by the outside exoskeleton to
- For more complicated studies, create differential effects that fall into the logical constraints
of your experimental design
Data can be collected and standardized specifically for neural network implementation, which is ancillary to molecular,
genetic, behavioral, and modeling investigations. It is ancillary because deep neural networks derive patterns from a very
randomized and stochastic process, it is not preferred to standard techniques in biological and biomedical research. However,
a dynamic an open model that is highly adaptable and powerful may offer insight into translating dynamic effects
like sound to the complexity and variation of many disease models. Also, computer-generated audible-pressure specifically fine-tuned
to mediate molecular force signaling in tissue in itself is a very interesting question. Imagine an adaptable drug.