Category Archives: oncology

Nuclear cytoplasm localization

We do a lot of projects involving comparing a protein’s expression in the nucleus versus cytoplasm. Many proteins show activation upon translocation from cytoplasm to nucleus. Below are some example steps that we perform to obtain a measurement of the ratio on a cell-basis. There are a wide number of variations to these approaches. The [...]

Phosphomarkers — NF-kappaB

Phosphomarkers do not generally represent any additional difficulties in image analysis, although the sample handling and collection is not trivial, and one must take care with interpretation, particularly when working in realworld clinical specimen settings. Below is a phospho-NF-kappa B p65 (Ser 276) antibody from EnVision (Rabbit) on formalin fixed paraffin embedded human colon carcinoma. [...]

Kappa/lambda in lymphoma

Anti-kappa and anti-lambda detect surface light chain immunoglobulins on normal and neoplastic B-cells in human lymphoid tissue.  In normal lymphoid tissue the kappa and lambda cell ratio is approximately 2:1, but values in excess of that ratio indicate monoclonality caused by either a lymphoproliferative disorder or neoplasia such as lymphoma. The double stain antibody provided by [...]

FACTS process

1.Consecutive tissue sectioning. 4 µm sections are cut sequentially and stained. A central slide is used as a reference slide, with special stains to assist in automated feature analysis, as necessary. Two to four serial sections above and below the reference slide are stained with the biomarker of interest 2.Automated feature recognition. Image analysis is [...]

Biomarkers in pulmonary adenocarcinomas

Lung is a notoriously difficult organ for conducting reproducible image analysis, due to both the challenges of consistent histology processes in lung tissue and the heterogeneity of various normal and neoplastic pulmonary features. Below is an example of how histology pattern recognition can be combined with both cell and area based image analysis. Pulmonary adenocarcinomas [...]

A rating system for image analysis problems

You wouldn’t dream of downhill skiing without a rating system. The beginners can stay off the tough slopes and the pros get to debate whether the black run of Colorado’s Arapahoe Basin Pallavicini is tougher than any double diamond at Breckenridge.  We need the same rating system in image analysis. Many of the double-diamond examples [...]

CISH Image Analysis

(CISH (Chromogenic In-Situ Hybridization) is a new technique first published by Tanner and his collegues (Am J Pathol 2000, 157:1467-1472). It will likely prove to be much more economical than FISH (FISH can range up to ten times the cost of IHC), and can be conducted with an ordinary microscope. Because it is chromogenic, the [...]

Measuring lung alveoli

The ability to identify each alveoli in a lung section, and then to measure statistics on each one is important in several lung-related therapeutic research area including inhalation toxicology and emphysema research. A custom algorithm has been developed where each alveoli is identified, and then perimeter and area can be calculated and the results graphed [...]

Histology pattern recognition — zoom out!

Experienced pathologists are very good at using minimum magnification to look at a slide. A pathologist can see more scanning an entire slide at 5x and then occasionally jumping to 20x or 40x in a couple of areas, than starting out at 40x. We all know this, and take it for granted as pathologists. However, [...]