celltrackR
Motion Trajectory Analysis
Methods for analyzing (cell) motion in two or three dimensions. Available measures include displacement, confinement ratio, autocorrelation, straightness, turning angle, and fractal dimension. Measures can be applied to entire tracks, steps, or subtracks with varying length. While the methodology has been developed for cell trajectory analysis, it is applicable to anything that moves including animals, people, or vehicles. Some of the methodology implemented in this packages was described by: Beauchemin, Dixit, and Perelson (2007) doi:10.4049/jimmunol.178.9.5505, Beltman, Maree, and de Boer (2009) doi:10.1038/nri2638, Gneiting and Schlather (2004) doi:10.1137/S0036144501394387, Mokhtari, Mech, Zitzmann, Hasenberg, Gunzer, and Figge (2013) doi:10.1371/journal.pone.0080808, Moreau, Lemaitre, Terriac, Azar, Piel, Lennon-Dumenil, and Bousso (2012) doi:10.1016/j.immuni.2012.05.014, Textor, Peixoto, Henrickson, Sinn, von Andrian, and Westermann (2011) doi:10.1073/pnas.1102288108, Textor, Sinn, and de Boer (2013) doi:10.1186/1471-2105-14-S6-S10, Textor, Henrickson, Mandl, von Andrian, Westermann, de Boer, and Beltman (2014) doi:10.1371/journal.pcbi.1003752.
- Version1.2.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- celltrackR citation info
- Last release08/26/2024
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Team
Johannes Textor
Gerhard Burger
Show author detailsRolesAuthorKatharina Dannenberg
Show author detailsRolesAuthorJeffrey Berry
Show author detailsRolesAuthorAnnie Liu
Show author detailsRolesAuthorMark Miller
Show author detailsRolesAuthorInge Wortel
Show author detailsRolesAuthor
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