Computerized image analysis as a tool to quantify infiltrating leukocytes: a comparison between high- and low-magnification images

Research output: Contribution to journalArticle

Abstract

The purpose of the present study was to establish a rapid and reproducible method for quantification of tissue-infiltrating leukocytes using computerized image analysis. To achieve this, the staining procedure, the image acquisition, and the image analysis method were optimized. Because of the adaptive features of the human eye, computerized image analysis is more sensitive to variations in staining compared with manual image analysis. To minimize variations in staining, an automated immunostainer was used. With a digital scanner camera, low-magnification images could be sampled at high resolution, thus making it possible to analyze larger tissue sections. Image analysis was performed by color thresholding of the digital images based on values of hue, saturation, and intensity color mode, which we consider superior to the red, green, and blue color mode for analysis of most histological stains. To evaluate the method, we compared computerized analysis of images with a x100 or a x12.5 magnification to assess leukocytes infiltrating rat brain tumors after peripheral immunizations with tumor cells genetically modified to express rat interferon-gamma (IFN-gamma) or medium controls. The results generated by both methods correlated well and did not show any significant differences. The method allows efficient and reproducible processing of large tissue sections that is less time-consuming than conventional methods and can be performed with standard equipment and software.(J Histochem Cytochem 49:1073-1079, 2001)

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Surgery
  • Neurology

Keywords

  • Animals, Brain Neoplasms, Epitopes, Image Processing, Computer-Assisted, Immunohistochemistry, Leukocytes, Male, Rats, Rats, Inbred F344, Reproducibility of Results, Journal Article, Research Support, Non-U.S. Gov't
Original languageEnglish
Pages (from-to)1073-79
Number of pages7
JournalJournal of Histochemistry and Cytochemistry
Volume49
Issue number9
Publication statusPublished - 2001 Sep
Publication categoryResearch
Peer-reviewedYes

Bibliographic note

The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Neurosurgery (013026000), Genetics (Closed 2011) (011005100)