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Automated analysis of tissue microarrays

Jonathan B Weitzman

Genome Biology 2002, 3:spotlight-20021023-01  doi:10.1186/gb-spotlight-20021023-01

The electronic version of this article is the complete one and can be found online at:


Published:23 October 2002

© 2002 BioMed Central Ltd

Research news

Analysis of histological sections of disease tissues has traditionally relied on pathologist-based scoring. In an Advanced Online Publication in Nature Medicine Camp et al. describe techniques to automate the analysis of tissue microarrays that contain hundreds of tumour tissue sections arrayed on glass slides (Nature Medicine, 21 October 2002;doi:10.1038/nm791). Their approach, nicknamed AQUA (Automated Quantitative Analysis), involves a set of algorithms that can distinguish subcellular compartments and quantitatively assess protein localisation. Validation experiments demonstrated that the AQUA methodology is at least as good as conventional pathologist-based evaluation. Camp et al. used this technique successfully to assess estrogen receptor immunohistochemistry of breast carcinoma samples and nuclear beta-catenin expression in colon cancer.

References

  1. [http://www.nature.com/nm] webcite

    Nature Medicine

  2. Tissue microarrays for high-throughput molecular profiling of tumor specimens,

    PubMed Abstract OpenURL

  3. [http://www.yalepath.org/dept/research/YCCTMA/tisarray.htm] webcite

    Yale Cancer Center Tissue Microarray Facility