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.
INSIDIA: A FIJI Macro Delivering High-Throughput and High-Content Spheroid Invasion Analysis / Moriconi, Chiara; Palmieri, Valentina; Di Santo, Riccardo; Tornillo, Giusy; Papi, Massimiliano; Pilkington, Geoff; De Spirito, Marco; Gumbleton, Mark. - In: BIOTECHNOLOGY JOURNAL. - ISSN 1860-6768. - 12:10(2017), p. 1700140. [10.1002/biot.201700140]
INSIDIA: A FIJI Macro Delivering High-Throughput and High-Content Spheroid Invasion Analysis
Moriconi, Chiara;Di Santo, Riccardo;Papi, Massimiliano;
2017
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
