SEMORE: SEgmentation and MORphological fingErprinting by machine learning automates super-resolution data analysis.
S. W. B. Bender, M. W. Dreisler, M. Zhang, J. Kaestel-Hansen, N. S. Hatzakis
SEMORE automates super-resolution data analysis by using machine learning to segment and quantify protein assemblies, enabling classification of aggregation pathways and nuclear pore complex geometry.
bioRxiv · May 10, 2023Biophysics