A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others
* a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data).
* a Leica file reader,
* Steindhard bond orientational order calculation
* a VTK file writer

1. Leocmach, M. & Tanaka, H. A novel particle tracking method with individual particle size measurement and its application to ordering in glassy hard sphere colloids. Soft Matter 9, 1447–1457 (2013). https://dx.doi.org/10.1039/C2SM27107A (http://arxiv.org/pdf/1301.7237.pdf)

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow Colloids toolkit

Colloids toolkit Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Colloids toolkit!

Additional Project Details

Languages

English

Intended Audience

Advanced End Users, Developers, Science/Research

User Interface

Command-line

Programming Language

C++, Python

Related Categories

Python Molecular Science Software, Python Simulation Software, Python Physics Software, C++ Molecular Science Software, C++ Simulation Software, C++ Physics Software

Registered

2009-09-28