Standing

Undergraduate

Type of Proposal

Poster Presentation

Challenges Theme

Open Challenge

Your Location

Windsor, Ontario

Faculty Sponsor

Drew Marquardt

Abstract/Description of Original Work

As progress is made toward more detailed methods of experimentation, larger volumes of data are generated. Much the critical information inside that data is inaccessible to researchers, who have limited time to analyze results by hand. Easy to use data visualization software can allow them to take full advantage of valuable data and maximize the use of limited resources. In this project, a web application is being developed to visualize data generated in the study of lipid bilayers. Small angle scattering (SAS) techniques are used to analyze the structure of generated bilayers. This data is then fitted to an appropriate model, after which it is visualized into various graphs. In this way composition, lipid volume and bilayer thickness can be determined and utilized in further study.

This application will primarily use Django, a python package specialized for the development of robust web applications. In addition, several other libraries are used to support the more technical aspects of the project – notable examples are MatPlotLib (for graphs), NumPy (for calculations) and Pandas (for advanced data structures). The decision was made to develop a web application to allow scientists all over the world to take advantage of this solution. Without the barrier of downloading and installing software, users can take advantage of the application regardless of which operating system they use. This also allows for a shorter development cycle by eliminating the need to push updates or prepare multiple versions.

Share

COinS
 

Vesicle Viewer – Data Analysis and Visualization Software

As progress is made toward more detailed methods of experimentation, larger volumes of data are generated. Much the critical information inside that data is inaccessible to researchers, who have limited time to analyze results by hand. Easy to use data visualization software can allow them to take full advantage of valuable data and maximize the use of limited resources. In this project, a web application is being developed to visualize data generated in the study of lipid bilayers. Small angle scattering (SAS) techniques are used to analyze the structure of generated bilayers. This data is then fitted to an appropriate model, after which it is visualized into various graphs. In this way composition, lipid volume and bilayer thickness can be determined and utilized in further study.

This application will primarily use Django, a python package specialized for the development of robust web applications. In addition, several other libraries are used to support the more technical aspects of the project – notable examples are MatPlotLib (for graphs), NumPy (for calculations) and Pandas (for advanced data structures). The decision was made to develop a web application to allow scientists all over the world to take advantage of this solution. Without the barrier of downloading and installing software, users can take advantage of the application regardless of which operating system they use. This also allows for a shorter development cycle by eliminating the need to push updates or prepare multiple versions.