The Rgifier
Category: Research
Tools Used: Data Analysis, Python, R
Project date: Summer 2023
Project Description
During the summer of 2023, I conducted research at James Madison University's biochemistry department in partnership with the Lawrence Berkeley National Laboratory. I developed a software tool—The Rgifier—for automating SAXS (Small Angle X-ray Scattering) data processing.
The software processes 2800+ frames of SAXS data collected from 96-well plates, drastically improving on the manual processing time (~2 minutes per well using RAW) by producing key values (Rg, I0, mass, volume, etc.) in ~4 seconds for an entire dataset.
The Rgifier was tested against known standards and proved highly accurate, especially for protein analysis. This work culminated in a poster presentation at the Advanced Light Source User Meeting at Lawrence Berkeley.