Author
Listed:
- Manuel G Forero
- Jenny A Pennack
- Anabel R Learte
- Alicia Hidalgo
Abstract
Development, cancer, neurodegenerative and demyelinating diseases, injury, and stem cell manipulations are characterised by alterations in cell number. Research into development, disease, and the effects of drugs require cell number counts. These are generally indirect estimates, because counting cells in an animal or organ is paradoxically difficult, as well as being tedious and unmanageable. Drosophila is a powerful model organism used to investigate the genetic bases of development and disease. There are Drosophila models for multiple neurodegenerative diseases, characterised by an increase in cell death. However, a fast, reliable, and accurate way to count the number of dying cells in vivo is not available. Here, we present a method based on image filtering and mathematical morphology techniques, to count automatically the number of dying cells in intact fruit-fly embryos. We call the resulting programme DeadEasy Caspase. It has been validated for Drosophila and we present examples of its power to address biological questions. Quantification is automatic, accurate, objective, and very fast. DeadEasy Caspase will be freely available as an ImageJ plug-in, and it can be modified for use in other sample types. It is of interest to the Drosophila and wider biomedical communities. DeadEasy Caspase is a powerful tool for the analysis of cell survival and cell death in development and in disease, such as neurodegenerative diseases and ageing. Combined with the power of Drosophila genetics, DeadEasy expands the tools that enable the use of Drosophila to analyse gene function, model disease and test drugs in the intact nervous system and whole animal.
Suggested Citation
Manuel G Forero & Jenny A Pennack & Anabel R Learte & Alicia Hidalgo, 2009.
"DeadEasy Caspase: Automatic Counting of Apoptotic Cells in Drosophila,"
PLOS ONE, Public Library of Science, vol. 4(5), pages 1-10, May.
Handle:
RePEc:plo:pone00:0005441
DOI: 10.1371/journal.pone.0005441
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