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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 and Gumbleton, Mark 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: 27 Aug 2019 20:41
URI: http://orca.cf.ac.uk/id/eprint/104105

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