Python toolkit for 2D single-particle tracking (SPT) and reconstruction of super-resolution images.
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Updated
May 20, 2025 - Python
Python toolkit for 2D single-particle tracking (SPT) and reconstruction of super-resolution images.
Python toolkit for 2D/3D image processing using CPU or GPU
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).
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.
Python algorithms to convert images of beads into positions
Software for automated analysis of single molecule fluorescence and FRET (smFRET) data
MATLAB codes developed in Courtemanche lab at University of Minnesota for automating analysis of actin filament properties from single molecule microscopy images.
Legacy MATLAB code from PhD dissertation work and academic postdoc work
A GUI application to assist manual object tracking in 2D/3D time-lapse images
A Python application for deep learning-based particle tracking in microscopy images.
A collection of manuals for the software tools used in mechanosensitive ion channel research, single-molecule imaging, and cell biology
Matlab software for simulation of two-dimensional single particle tracking (SPT) data sets.
ParticleTracker is a Python framework for particle detection, localization, and tracking in fluorescence microscopy images
Colocalization metrics and distances for images or their sparse representations.
A Python application for analyzing fluorescently-tagged proteins with mixed mobility behaviors in microscopy data
A comprehensive, modular application for analyzing particle trajectories from TIRF microscopy recordings and other single-molecule imaging data.
A complete end-to-end pipeline for single-molecule FRET trajectory processing, 3-state kinetic modeling with bleaching, global ensemble fitting, bootstrapping, and sensitivity analysis for Hsp90 dynamics.
A MATLAB suite implementing computer vision pipeline to extract information from the noisy TIRF microscopy data (image stack)
Jupyter implementations of various features in the `misloc_package`, predicting mispolarization and mislocalization in plasmon-enhanced single-molecule imaging.
End-to-end pipeline for stoichiometry determination from single-molecule photobleaching of membrane proteins in plant microsomal fraction.
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