title: Strategies to improve quantitative assessment of immunohistochemical and immunofluorescent labelling.
abstract: Binary image thresholding is the most commonly used technique to quantitatively examine changes in immunolabelled material. In this article we demonstrate that if implicit assumptions predicating this technique are not met then the resulting analysis and data interpretation can be incorrect. We then propose a transparent approach to image quantification that is straightforward to execute using currently available software and therefore can be readily and cost-effectively implemented.
authors.affiliation: 1] School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia [2] Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
authors.forename: Sarah J
authors.initials: SJ
authors.lastname: Johnson
authors.affiliation: 1] School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, Australia [2] Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
authors.forename: F Rohan
authors.initials: FR
authors.lastname: Walker
mesh_terms: D000818:Animals; D005455:Fluorescent Antibody Technique / Q000379:methods*; D007150:Immunohistochemistry / Q000379:methods*; D051381:Rats