Information system for analysis of nanostructure morphology: Education and research

TL;DR

This paper presents ISANM, an integrated information system designed to automate colloidal structure morphology analysis, enhancing education and research in nanostructure analysis with a focus on usability and future expansion.

Contribution

The paper introduces ISANM, a user-friendly, adaptable software platform for morphology analysis, combining various methods and scripts in Python, implemented with modern technologies for educational and research purposes.

Findings

System successfully integrates multiple analysis methods.

System is accessible via web and deployed on a server.

Facilitates education and research in nanostructure morphology.

Abstract

The work is devoted to the development of an information system ISANM that will be useful for teaching students and applicable in the work of engineers and researchers for automating the analysis of colloidal structure morphology. The ISANM system integrates various analysis methods and is designed prioritize usability, catering primarily to users rather than software developers. This paper outlines the scope of the subject area, reviews selected methods for morphology analysis, and presents the scripts developed for implementing these methods in Python. In the future, new methods and tools will be gradually added to the system for chemical engineers, physicists, and materials scientists. We hope that the system implementation methodology described here will be useful in the implementation of other projects related to training chemical engineers and beyond. The system core is implemented in C#, utilizing the .NET Framework and the MS SQL Server, and is developed within the Microsoft Visual Studio 2019 environment on Windows 10 using the client-server architecture. The system has been deployed on a VDS server using the Ubuntu 20.04 distribution. MS SQL Server is used as the database management system. The system can be accessed at https://isanm.space. Geometric analysis of colloidal structures is significant in applications such as photonic crystals for optoelectronics and microelectronics, functional coatings in materials science, and biosensors for medical and environmental applications. This demonstrates the importance of digitalization in this area to improve the quality of student education.