Automated Tracking of Gene Expression in Individual Cells
Author Information
Author(s): Shen Hailin, Nelson Glyn, Nelson David E, Kennedy Stephnie, Spiller David G, Griffiths Tony, Paton Norman, Oliver Stephen G, White Michael R.H, Kell Douglas B
Primary Institution: The University of Manchester
Hypothesis
Can automated software accurately track gene expression in individual cells faster than manual methods?
Conclusion
CellTracker software can track cellular locations and gene expression levels more than 20 times faster than manual analysis.
Supporting Evidence
- CellTracker is more than 20 times faster than manual analysis.
- The software is freely available for use.
- CellTracker can measure gene expression levels during dynamic processes.
- It provides management tools for tracking cellular boundaries over time.
- CellTracker uses advanced image-processing techniques for accurate tracking.
Takeaway
Scientists created a computer program that helps them see where proteins are in cells really quickly, much faster than doing it by hand.
Methodology
CellTracker uses automated cell tracking methods and image-processing algorithms to analyze fluorescently tagged proteins in live cells.
Limitations
The software may not be suitable for all types of cell tracking, especially for cells that are not motile.
Digital Object Identifier (DOI)
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