cellPairs

Get all unique combinations of two track ids.

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>.

Johannes Textor

celltrackR

Motion Trajectory Analysis

Katharina Dannenberg

Jeffrey Berry

Gerhard Burger

Annie Liu

Mark Miller

Inge Wortel

cellPairs function

<dl><dt>X</dt>
<dd>a tracks object</dd></dl>

Arguments

Find Pairs of Tracks — cellPairs

<dl>

<dt>X</dt>
<dd>a tracks object</dd>

</dl>

cellPairs: Find Pairs of Tracks

Description

Usage

Value

Arguments

Examples