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 language | English |
|---|---|
| Article number | 1700140 |
| Journal | Biotechnology Journal |
| Early online date | 6 Sept 2017 |
| DOIs | |
| Publication status | Early online - 6 Sept 2017 |
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- INSIDIA - a FIJI Macro Delivering High-throughput
This is the peer reviewed version of the following article: Moriconi, C., Palmieri, V., Di Santo, R., Tornillo, G., Papi, M., Pilkington, G., De Spirito, M. and Gumbleton, M. (2017), INSIDIA: A FIJI Macro Delivering High-Throughput and High-Content Spheroid Invasion Analysis. Biotechnol. J., 1700140. doi:10.1002/biot.201700140, which has been published in final form at http://onlinelibrary.wiley.com/wol1/doi/10.1002/biot.201700140/abstract. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving