e-learning
Object tracking using CellProfiler
Abstract
Most biological processes are dynamic and observing them over time can provide valuable insights. Combining fluorescent markers with time-lapse imaging is a common approach to collect data on dynamic cellular processes such as cell division (e.g.,. However, automated time-lapse imaging can produce large amounts of data that can be challenging to process. One of these challenges is the tracking of individual objects as it is often impossible to manually follow a large number of objects over many time points.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How to segment and track objects in fluorescence time-lapse microscopy images?
- Can the same workflow be reused on data from another discipline, such as Earth observation (tracking atmospheric rivers)?
Learning Objectives
- Segment fluorescent objects using CellProfiler in Galaxy
- Track objects over multiple frames using CellProfiler in Galaxy
- Reuse the same CellProfiler tracking pipeline on an Earth-observation time series (cross-discipline reuse)
Licence: Creative Commons Attribution 4.0 International
Keywords: Earth observation, Imaging, Isolated object tracking, Multi-channel image
Competency level: •• Intermediate
Target audience: Students
Resource type: e-learning
Version: 12
Status: Active
Prerequisites:
- Creating, Editing and Importing Galaxy Workflows
- FAIR Bioimage Metadata
- Introduction to Galaxy Analyses
- REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data
Learning objectives:
- Segment fluorescent objects using CellProfiler in Galaxy
- Track objects over multiple frames using CellProfiler in Galaxy
- Reuse the same CellProfiler tracking pipeline on an Earth-observation time series (cross-discipline reuse)
Date modified: 2026-06-23
Date published: 2021-03-17
Contributors: Beatriz Serrano-Solano,
Björn Grüning,
Cristóbal Gallardo,
Helena Rasche,
Leonid Kostrykin,
Saskia Hiltemann
Scientific topics: Imaging
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