Channelrhodopsins are light-activated proteins used to control excitable cells such as neurons to treat cardiac, vision and neuronal diseases. As such, ongoing efforts include identification of new variants with enhanced functional properties. However, a rate limiting step in these efforts is a robust and efficient method to analyze data. By creating a fast, automated system, this invention efficiently analyzes protein variants which can be directly used to treat disease states.
This system is compatible with software from a variety of companies and could automate all optical screens. As such, this invention could prove to be an effective high throughput screening mechanism.
Prior to our automated system, data sets were manually entered and analyzed. Manual entry is laborious and greatly diminishes efficiency of experiments. Our coding algorithm is more efficient than previous manual systems and expect that this software could be added onto existing hardware by companies to automate data analysis. Alternatively, this software could be used as a standalone component to efficiently process data.
Currently no automated systems to analyze channelrhodopsin data exist.