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INSIDIA: a FIJI Macro Delivering High‐throughput and High‐content Spheroid Invasion Analysis

21:41 EDT 8 Aug 2017 | Wiley Biotechnology Journal

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 customisable, comprehensive and open source solution for the quantitative analysis of such spheroid images is lacking. Here, we describe INSIDIA (INvasion SpheroID ImageJ Analysis), an open‐source macro implemented as a customisable software algorithm running on the FIJI platform, that enables high‐throughput high‐content quantitative analysis of spheroid images (both bright‐field grey and fluorescent images) with the output of a range of parameters defining the spheroid 'tumour' core and its invasive characteristics.

Original Article: INSIDIA: a FIJI Macro Delivering High‐throughput and High‐content Spheroid Invasion Analysis

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