Related Experiment Video
Updated: Aug 19, 2026
Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
Published on: April 8, 2016
Tissue architecture analysis in prostate cancer and its precursors: An innovative approach to computerized histometry
P H Bartels1, R Montironi, V Duval da Silva
1Optical Sciences Center, University of Arizona, Tucson, Ariz. 85721, USA.
Aims:
It is the aim of these studies to derive a numerically defined progression index for prostatic intraepithelial neoplasia (PIN) lesions.
Methods:
Histometric and karyometric features were automatically extracted from images of histopathologic sections by a machine vision system.
Results:
Both histometric and karyometric measures lend themselves to the defining of a progression index. Karyometric features were found to be more sensitive. They allow the detection of very early change.
Conclusions:
It is possible to measure progression of PIN lesions with precision. The methodology would lend itself for measurement of regression due to chemopreventive intervention.
