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. Author manuscript; available in PMC: 2016 Aug 5.
Published in final edited form as: Clin Biochem. 2013 Dec 18;47(4-5):274–279. doi: 10.1016/j.clinbiochem.2013.12.008

Figure 1.

Figure 1

Automated pattern recognition image analysis approach for quantifying tissue features in biobank tissue specimens as part of pathology quality assurance. Unique algorithms were developed for each tumor type. A. Sub-gross photomicrograph of an optically scanned melanoma tissue section image used for morphometric analysis is displayed as a representative example. Hematoxylin and eosin stain. B. Tissue section shown in (A) after image analysis, displayed with pseudo-color mark-up revealing tissue areas segmented as cancer (green, 68.6%) and stroma (blue, 31.4%). Image reproduced with permission from the Journal of Biomolecular Techniques (JBT), ©Association of Biomolecular Resource Facilities, www.abrf.org (27).