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Media type:
E-Article
Title:
INSIDIA: A FIJI Macro Delivering High‐Throughput and High‐Content Spheroid Invasion Analysis
Contributor:
Moriconi, Chiara;
Palmieri, Valentina;
Di Santo, Riccardo;
Tornillo, Giusy;
Papi, Massimiliano;
Pilkington, Geoff;
De Spirito, Marco;
Gumbleton, Mark
imprint:
Wiley, 2017
Published in:Biotechnology Journal
Language:
English
DOI:
10.1002/biot.201700140
ISSN:
1860-6768;
1860-7314
Origination:
Footnote:
Description:
<jats:sec><jats:label /><jats:p>Time‐series image capture of in vitro 3D spheroidal cancer models embedded within an extracellular matrix affords examination of spheroid growth and cancer cell invasion. However, a customizable, comprehensive and open source solution for the quantitative analysis of such spheroid images is lacking. Here, the authors describe INSIDIA (INvasion SpheroID ImageJ Analysis), an open‐source macro implemented as a customizable software algorithm running on the FIJI platform, that enables high‐throughput high‐content quantitative analysis of spheroid images (both bright‐field gray and fluorescent images) with the output of a range of parameters defining the spheroid “tumor” core and its invasive characteristics.</jats:p></jats:sec>