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

Moriconi, Chiara ORCID: https://orcid.org/0000-0001-7942-2166, Palmieri, Valentina, di Santo, Riccardo, Tornillo, Giusy, Papi, Massimiliano, Pilkington, Geoff, De Spirito, Marco and Gumbleton, Mark ORCID: https://orcid.org/0000-0002-7386-311X 2017. INSIDIA: a FIJI macro delivering high-throughput and high-content spheroid invasion analysis. Biotechnology Journal 12 (10) , 1700140. 10.1002/biot.201700140

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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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Pharmacy
Publisher:	Wiley-Blackwell
ISSN:	1860-6768
Date of First Compliant Deposit:	30 August 2017
Date of Acceptance:	4 August 2017
Last Modified:	07 Nov 2023 11:20
URI:	https://orca.cardiff.ac.uk/id/eprint/104105

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