Artificial Intelligence


Bsoft-Ruby/ruby Based Machine Learning(ml)-LLVM-Tcl/Tk Based Analysis of Cryo-em Images Using Mathematical Software in Probing the Nano-Bio Systems – an Interesting Insight Into Ruby/ruby-ML and Tcl/Tk Interfacing in the Context of Electron Microscopy Ima

Authors: Nirmal Tej Kumar

In this communication the importance of BSOFT-Ruby-LLVM-Tcl/Tk systems based imaging framework to probe Cryo-EM images is presented from a practical implementation point of view. Cryo-EM Technique holds an excellent future.Ruby-LLVM based imaging algorithms could form a powerful informatics framework for researching the challenges arising in the domains of nanotechnology. It is very much useful and important to study the behavior of cross-platform interfacing of existing software tools,fine tuning and adapting them to the domains where the models make bold predictions which could form the basis for the discovery of new nanoscale phenomena. All the methods presented here are also applicable to TEM/SEM/other EM Image Processing tasks as well. Aimed at writing better image processing software directly in Ruby in the near future as Ruby is already a promising tool in medical imaging areas like DICOM and other applications.Ruby also easily interacts with software already developed using C/C++/Java/Tcl/Tk/LLVM with its own extension capabilities.BSOFT, a well established Electron Microscopy Image Processing Software is chosen to experiment with,hence this presentation.

Comments: 3 Pages. Short Communication & Simple Suggestion

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[v1] 2019-06-04 05:53:21

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