Optical forward-scattering systems supported by image analysis methods are increasingly being used for rapid identification of bacterial colonies (Vibrio parahaemolyticus, Vibrio vulnificus, Vibrio cholera, etc.). The conventional detection and identification of bacterial colonies comprises a variety of methodologies based on biochemical, serological or DNA/RNA characterization. Such methods involve laborious and time-consuming procedures in order to achieve confirmatory results. In this article we present ds-Bidens, a novel software for studying bacterial colony features. The software ds-Bidens was programmed using C++, Perl and wxBasic programming languages. A graphical user interface (GUI), an image processing tool and functions to compute bacterial colony features were programmed. We obtained versatile software that provides key tools for studying bacterial colony images as: texture analysis, invariant moment and color (CIELab) calculation, etc., simplifying operations previously carried out by MATLAB applications. The new software can be of particular interest in fields of microbiology, both for bacterial colonies identification and the study of their growth, changes in color and textural features. Additionally ds-Bidens offers to the users a versatile environment to study bacterial colonies images. ds-Bidens is freely available from: http://ds-bidens.sourceforge.net/
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[v1] 2016-12-14 04:16:34
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