Particle tracking

EB1 tracking with Matlab

Submitted by Perrine on Mon, 04/08/2019 - 11:05

This module follow EB1 tracking with IJ. In this session, we will visualize the tracking results and also cover typical analysis protocols for the quantitative analysis of movement. Two dynamic numerical features could be extracted from tracking results: speed and direction. Estimation of movement speed from multiple trajectories is a popular indicator of movement, and we will quickly go over the method for estimating the average speed of EB1 movement along microtubule. Movement direction is another quantitative feature, but is rarely explored.

EB1 tracking with IJ

Submitted by Perrine on Mon, 04/08/2019 - 11:00

We take an example image data of microtubule binding protein EB1, and will study how to automatically track those signals and how to analyze the tracking results. We use ImageJ for measuring the temporal changes in signal positions, and will feed the tracking results for analyzing their dynamics using Matlab in the following session EB1 tracking with Matlab.

PTA2

Component
Description

"PTA2 is an ImageJ1.x plugins that enable automatic particle tracking"

This plugin is developed specifically for single-molecule imaging, so it's good at tracking spots with noisy background. 

has topic
Bioimage informatics
has function
Particle tracking

Simple-Tracker

Component
Description

SIMPLETRACKER a simple particle tracking algorithm that can deal with gaps.

Tracking , or particle linking, consist in re-building the trajectories of one or several particles as they move along time. Their position is reported at each frame, but their identity is yet unknown: we do not know what particle in one frame corresponding to a particle in the previous frame. Tracking algorithms aim at providing a solution for this problem. 

simpletracker.m is - as the name says - a simple implementation of a tracking algorithm, that can deal with gaps. A gap happens when one particle that was detected in one frame is not detected in the subsequent one. If not dealt with, this generates a track break, or a gap, in the frame where the particle disappear, and a false new track in the frame where it re-appear. 

has topic
Live sample imaging
has function
Cell tracking
Particle tracking
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