Evaluation on blood platelets by the image analysis system VIDAS 2.5

This paper introduces a program written on the image analysis system VIDAS 2.5. It enables the automatic quantification of high numbers of adhesion areas of vital human platelets, thus allowing statistical analysis. These adhesion areas were observed by reflection contrast microscopy (RCM), which ge...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 1995-07, Vol.47 (2), p.177-182
Main Authors: Filler, T.J., Rickert, C.H., Zhao, B.
Format: Article
Language:English
Subjects:
Adhesion area
Biological and medical sciences
Blood coagulation. Blood cells
Blood Platelets - drug effects
Blood Platelets - pathology
Cytochalasin D - pharmacology
Data Interpretation, Statistical
Fundamental and applied biological sciences. Psychology
Humans
Image analysis
Image Processing, Computer-Assisted
In Vitro Techniques
Lipoproteins, LDL - pharmacology
Mathematical Computing
Microscopy, Phase-Contrast
Molecular and cellular biology
Morphological quantification
Platelet
Platelet Adhesiveness - drug effects
Reflection contrast microscopy
Software
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Summary:This paper introduces a program written on the image analysis system VIDAS 2.5. It enables the automatic quantification of high numbers of adhesion areas of vital human platelets, thus allowing statistical analysis. These adhesion areas were observed by reflection contrast microscopy (RCM), which generates images of an intense contrast and serves as a prerequisite for an evaluation by image analysis. However, RCM-photographs of the observed platelets have highly varying mean greyvalues and greyranges. These common problems for self-operating identification are excluded by two procedures within the program: 1. calibration of the scanning process for an optimal use of the available greyvalues provided by the negative, camera, and the image analysis system; and 2. relation of the threshold for discrimination of adhesion areas to the statistic parameters of the histogram within each individual digitized image. Images processed according to these prerequisites were transferred to the VIDAS implemented routines for identification and measurement of areas. Thus, image analysis combined with RCM offers a tool for basic and clinical platelet research, which is shown by an example of stimulation and inhibited stimulation of platelet activation.
ISSN:0169-2607
1872-7565
DOI:10.1016/0169-2607(95)01649-E