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SEMORE is a multi-layered density-based clustering module to dissect biological assemblies and a morphology fingerprinting module for quantification by multiple geometric and kinetics-based descriptors.
MATLAB codes developed in Courtemanche lab at University of Minnesota for automating analysis of actin filament properties from single molecule microscopy images.
Jupyter implementations of various features in the `misloc_package`, predicting mispolarization and mislocalization in plasmon-enhanced single-molecule imaging.
Statistical analysis of single molecule trajectories. (NB: The Sojourner.Pro featuring machine learning analysis is in the making, sign up on sojourner website for release: also, I am open for freelancing till the end of the pandemic, checkout the website for details).