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Logo of bmcbiophysBioMed CentralBiomed Central Web Sitesearchsubmit a manuscriptregisterthis articleBMC BiophysicsJournal Front Page
 
BMC Biophys. 2012; 5: 4.
Published online Feb 20, 2012. doi:  10.1186/2046-1682-5-4
PMCID: PMC3337278
APM_GUI: analyzing particle movement on the cell membrane and determining confinement
Reviewed by Silvia A Menchón,corresponding author1,2 Mauricio G Martín,1,3 and Carlos G Dotticorresponding author1,3
1Department of Molecular and Developmental Genetics, VIB Center for the Biology of Disease and Center for Human Genetics, KULeuven, Campus Gasthuisberg, Herestraat 49 - bus 602, 3000 Leuven, Belgium
2IFEG-CONICET and FaMAF, Universidad Nacional de Córdoba, Córdoba, Argentina
3Centro de Biología Molecular Severo Ochoa, CSIC-UAM, Campus Universidad Autónoma de Madrid, Madrid, Spain
corresponding authorCorresponding author.
Silvia A Menchón: menchon/at/famaf.unc.edu.ar; Mauricio G Martín: mauricio.m/at/cbm.uam.es; Carlos G Dotti: cdotti/at/cbm.uam.es
Received August 30, 2011; Accepted February 20, 2012.
Abstract
Background
Single-particle tracking is a powerful tool for tracking individual particles with high precision. It provides useful information that allows the study of diffusion properties as well as the dynamics of movement. Changes in particle movement behavior, such as transitions between Brownian motion and temporary confinement, can reveal interesting biophysical interactions. Although useful applications exist to determine the paths of individual particles, only a few software implementations are available to analyze these data, and these implementations are generally not user-friendly and do not have a graphical interface,.
Results
Here, we present APM_GUI (Analyzing Particle Movement), which is a MatLab-implemented application with a Graphical User Interface. This user-friendly application detects confined movement considering non-random confinement when a particle remains in a region longer than a Brownian diffusant would remain. In addition, APM_GUI exports the results, which allows users to analyze this information using software that they are familiar with.
Conclusions
APM_GUI provides an open-source tool that quantifies diffusion coefficients and determines whether trajectories have non-random confinements. It also offers a simple and user-friendly tool that can be used by individuals without programming skills.
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