In:
BioTechniques, Future Science Ltd, Vol. 62, No. 4 ( 2017-04), p. 175-179
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.
Type of Medium:
Online Resource
ISSN:
0736-6205
,
1940-9818
Language:
English
Publisher:
Future Science Ltd
Publication Date:
2017
detail.hit.zdb_id:
1496354-1
SSG:
12
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