title: Colour thresholding and objective quantification in bioimaging.
abstract: Computer imaging is rapidly becoming an indispensable tool for the quantification of variables in research and medicine. Whilst its use in medicine has largely been limited to qualitative observations, imaging in applied basic sciences, medical research and biotechnology demands objective quantification of the variables in question. In black and white densitometry (0-256 levels of intensity) the separation of subtle differences between closely related hues from stains is sometimes very difficult. True-colour and real-time video microscopy analysis offer choices not previously available with monochrome systems. In this paper we demonstrate the usefulness of colour thresholding, which has so far proven indispensable for proper objective quantification of the products of histochemical reactions and/or subtle differences in tissue and cells. In addition, we provide interested, but untrained readers with basic information that may assist decisions regarding the most suitable set-up for a project under consideration. Data from projects in progress at Tulane are shown to illustrate the advantage of colour thresholding over monochrome densitometry and for objective quantification of subtle colour differences between experimental and control samples.
authors.affiliation: Tulane University School of Medicine, Department of Pathology, New Orleans, LA 70112-2699.
authors.forename: C D
authors.initials: CD
authors.lastname: Fermin
authors.forename: M A
authors.initials: MA
authors.lastname: Gerber
authors.forename: J R
authors.initials: JR
authors.lastname: Torre-Bueno
mesh_terms: D000818:Animals; D002642:Chick Embryo; D006651:Histocytochemistry / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008858:Microscopy, Phase-Contrast / Q000295:instrumentation / Q000379:methods*; D014741:Video Recording / Q000379:methods*