INSIDIA: a FIJI macro delivering high-throughput and high-content spheroid invasion analysis

Chiara Moriconi, Valentina Palmieri, Riccardo Di Santo, Giusy Tornillo, Massimiliano Papi, Geoff Pilkington, Marco De Spirito, Mark Gumbleton

Research output: Contribution to journalArticlepeer-review

261 Downloads (Pure)

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.
Original languageEnglish
Article number1700140
JournalBiotechnology Journal
Early online date6 Sep 2017
DOIs
Publication statusEarly online - 6 Sep 2017

Fingerprint

Dive into the research topics of 'INSIDIA: a FIJI macro delivering high-throughput and high-content spheroid invasion analysis'. Together they form a unique fingerprint.

Cite this