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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.NEXT ARTICLE
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Cancer is not just one disease but many diseases. There are more than 100 different types of cancer. Most cancers are named for the organ or type of cell in which they start - for example, cancer that begins in the colon is called colon cancer; cancer th...