Synonyms
Tracking

Object Tracking (MU-Lux-CZ)

Description

Cell tracking using MU-Lux algorithm.

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Object Tracking (Octave)

Description

Nuclei tracking in 2D time-lapse with Octave tracker (adapted from Matlab LOBSTER version.

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Object Tracking (ImageJ)

Description

Object tracking. For each time-frame, an image mask is obtained from median filtering (user defined radius), thresholding (user defined level) and hole filling. Convex objects are split apart by distance map watershed from regional intensity maxima (user defined noise tolerance), eroded (user defined radius) and analyzed as 3D particles (assuming some overlap between objects from a frame to the next frame). Finally, division events are analyzed and accounted for to relabel objects.

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Filopodyan

Description

Fiji plugin for detecting, tracking and quantifying filopodia

EB1 tracking with Matlab

Bioimage Analyst
Developer

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

Bioimage Analyst
Developer

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.

Nuclei Tracking (ImageJ)

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Manual tracking with TrackMate

Description

Manual tracking using Trackmate plugin (comes with FIji, so no installation required if you are using Fiji). 

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Tracking2.0

Description

This method was originally designed to track objects (not necessarily spots) already identified in 2D 
frames and has been applied previously to particle tracking and analysis in high-speed atomic force microscopy image series.

 

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