Literature DB >> 9313824

A novel image cytometric method for quantitation of immunohistochemical staining of cytoplasmic antigens.

M Guillaud1, J B Matthews, A Harrison, C MacAulay, K Skov.   

Abstract

Evaluation of molecular markers by immunohistochemical labelling of tissue sections has traditionally been performed by qualitative assessment by trained pathologists. For those markers with a staining component present outside of the nucleus, there has been no image histometric method available to reliably and consistently define cell interfaces within the tissue. We present a new method of approximating cellular boundaries to define cellular regions within which quantitative measurements of staining intensity may be made. The method is based upon Voronoi tessellation of a defined region of interest (ROI), and requires only the position of the nuclear centroids within the ROI. Here we describe the VORSTAIN software which has been developed based on the Oncometrics CytoSavant Automated Image Cytometry System. To demonstrate this technique, human breast cancer sections immunohistochemically stained for bcl-2 protein and counter-stained with nuclear methyl green stain were evaluated. Intra-observer variation in the measured values was between 1.5-2.6% and inter-observer variation was between 1.8-4.4%. The primary source of variability was due to difficulties in interpreting the exact position of the nuclear centroids. Analysis of mean staining densities for each slide correlated well with subjective scoring performed by two independent pathologists. Using VORSTAIN, significant variation of staining intensities between regions within the same slide was measured for some sections, indicating a large degree of heterogeneity within the tumours. The ability to accurately quantitate the degree of heterogeneity of molecular marker expression within tumours may be a valuable tool in prognostication.

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Year:  1997        PMID: 9313824      PMCID: PMC4617584          DOI: 10.1155/1997/457297

Source DB:  PubMed          Journal:  Anal Cell Pathol        ISSN: 0921-8912            Impact factor:   2.916


  3 in total

1.  Validation of immunoexpression of tenascin-C in oral precancerous and cancerous tissues using ImageJ analysis with novel immunohistochemistry profiler plugin: An immunohistochemical quantitative analysis.

Authors:  Deepa Rajesh Mane; Alka D Kale; Chetan Belaldavar
Journal:  J Oral Maxillofac Pathol       Date:  2017 May-Aug

2.  Automated recognition of cell phenotypes in histology images based on membrane- and nuclei-targeting biomarkers.

Authors:  Bilge Karaçali; Alexandra P Vamvakidou; Aydin Tözeren
Journal:  BMC Med Imaging       Date:  2007-09-06       Impact factor: 1.930

3.  Quantification of confocal fluorescence microscopy for the detection of cervical intraepithelial neoplasia.

Authors:  Fahime Sheikhzadeh; Rabab K Ward; Anita Carraro; Zhao Yang Chen; Dirk van Niekerk; Dianne Miller; Tom Ehlen; Calum E MacAulay; Michele Follen; Pierre M Lane; Martial Guillaud
Journal:  Biomed Eng Online       Date:  2015-10-24       Impact factor: 2.819

  3 in total

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