Affiliation:
1. Laboratory of Experimental Genetics, General Biology Department – ICB, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
Abstract
Recent advances in biological imaging techniques and the enormous amount of data they generate call for the development of computational tools for efficient and reliable high-throughput analysis. Several software applications with this functionality are available, and one of the most commonly used is ImageJ. Here, we present two independent macros (WH_NJ and SA_NJ) for automating and facilitating the analysis of images acquired from two in vitro assays frequently used in cancer studies and drug screening: the wound-healing and soft-agar assays. These two algorithms combine, in a single command, the steps required for the individual analysis of each image using ImageJ. WH_NJ and SA_NJ allow fast, reproducible data analysis without the experimental bias inherent in manual analyses, thus guaranteeing the robustness and reliability of the results.
Subject
General Biochemistry, Genetics and Molecular Biology,Biotechnology
Cited by
34 articles.
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