Article ID Journal Published Year Pages File Type
10345478 Computer Methods and Programs in Biomedicine 2005 7 Pages PDF
Abstract
Counting and differentiating cell clusters is a tedious task when performed with a light microscope. Moreover, biased counts and interpretation are difficult to avoid because of the difficulties to evaluate the limits between different types of clusters. Presented here, is a computer-based application able to solve these problems. The image analysis system is entirely automatic, from the stage screening, to the statistical analysis of the results of each experimental plate. Good correlations are found with measurements made by a specialised technician.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
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