In this short communication the importance of expert systems based imaging framework to probe Cryo-EM images is presented from a practical implementation point of view. Neural Networks or NN are an excellent tool to probe various domains of science and technology. Cryo-EM Technique holds bright future based on the application of NN.Prolog-NN based algorithms could form a powerful informatics and computational framework for researching the challenges of nano-bio Applications. Further,it is useful and important to study the behavior of NN in domains where knowledge does not exist, i.e to use the models to make bold predictions which form the basis for Cryo-EM Image Processing tasks and the discovery of new nano-bio phenomena.Indeed, the performance of NN is most useful to researchers in domains where the modeling and predicting “uncertainty” is known to be the greatest factor. All the methods presented here are also applicable to TEM/SEM/other EM Image Processing tasks as well.
Comments: 7 Pages. Prolog/NN/Expert Systems/JikesRVM/Informatics/EM/Cryo-EM/TEM/SEM/Material Science/Java Agents/Nanotechnology.
[v1] 2017-09-26 13:26:47
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