Open vivicki77 opened 7 months ago
Dear @vivicki77,
We are using the logistic conversion for the FRC normalization to avoid a linearity and give less weight to the extrem values and more weight to the medium range values. This increases the stability of the QnR estimation. There is also some info on this in the wiki: https://github.com/HenriquesLab/NanoJ-eSRRF/wiki/Parameter-sweep Let me know if this information was helpful, or if you have further questions. I'm happy to help :) Have a great day! Best, Hannah
Hello,
After reading the paper and code, I'm curious about why this function was chosen to normalize the FRC value. Could you please provide more information on this?![image](https://github.com/HenriquesLab/NanoJ-eSRRF/assets/159050252/9a0dc84d-8153-472d-97e1-31d0f9a5c8d2)