GUI development for the data analysis of a nano-scale FET system

An important innovation lies in the large-scale on-chip integration of nanoscale transistors for analyzing the molecular information contained in our bodies like for example DNA. This integration could provide for massive parallelization enabling a fast and more complete view of our current health state at a reasonable cost. However, such a sensor chip generates an astonishing amount of data that needs to be handled and analyzed efficiently.

Currently, we have a FET measurement system in place that generates about 5 GB of data per hour. The goal of the bachelor project is to develop a graphical user interface (GUI) that allows for the efficient and user-friendly analysis and storage of the generated data. Special emphasis will be on the convenient trackability of the analyzed data based on existing metadata like the measurement conditions and chip properties etc. The GUI will function as a central hub that eventually has to communicate with the FET measurement system, incorporate advanced analysis scripts (Python) and be easily extendable. Therefore, the preferred language for the development of the GUI is Python.

We are looking forward to welcoming a motivated computer scientist to tackle this software challenge.