Fast automated cell phenotype image classification

@article{Hamilton2006FastAC,
  title={Fast automated cell phenotype image classification},
  author={Nicholas A. Hamilton and Radosav S. Pantelic and Kelly Hanson and Rohan D. Teasdale},
  journal={BMC Bioinformatics},
  year={2006},
  volume={8},
  pages={110 - 110}
}
The genomic revolution has led to rapid growth in sequencing of genes and proteins, and attention is now turning to the function of the encoded proteins. In this respect, microscope imaging of a protein's sub-cellular localisation is proving invaluable, and recent advances in automated fluorescent microscopy allow protein localisations to be imaged in high throughput. Hence there is a need for large scale automated computational techniques to efficiently quantify, distinguish and classify sub… CONTINUE READING

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Expression and localization of proteins in mammalian cells

  • J. L. Stow, R. D. Teasdale
  • 2005
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