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: | Schools > Pharmacy |
| Publisher: | Wiley-Blackwell |
| ISSN: | 1860-6768 |
| Date of First Compliant Deposit: | 30 August 2017 |
| Date of Acceptance: | 4 August 2017 |
| Last Modified: | 24 Nov 2024 23:45 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/104105 |
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