Web services for image analytics to enable feedback control of remote instrumentation in CNT growth
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Remote instrumentation of scientific instruments e.g., scanning electron microscopes today involves inefficient, manual methods for remote instrument control and handling of large image data sets for analysis at high performance computing locations. There is a need to develop web services that enable fast and secure remote instrument control and automated image analytics to foster rapid innovations in scientific discoveries in e.g., manufacturing, and biomedical applications. In this thesis, we present a set of novel web services that are part of a Remote Instrumentation Science Environment (RISE) that features chatbot guided capabilities to navigate a number of functions related to remote instrument control and image analytics. Specifically, we detail web services for secure automation of image acquisition tasks, and enhanced accessibility to improve the iterative user ac- tions involved in achieving an image analytics objective. We implement our RISE web services in a real-world testbed featuring remote instrumentation programmable interfaces, and cloud computing resources for a Carbon Nano Tube manufacturing application. Usability study of our implementation demonstrates benefits of our solution for users with varying skill levels, and shows how our approach expedites gathering experiment results, improves networked resource usability, streamlines processes and increases accuracy of image analytics.
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M.S.