Searching a database of fluorescence microscopy images by typing keywords works well enough when annotations are complete and consistent. In practice, they rarely are. Images get uploaded with minimal metadata, terminology varies across labs, and no text description fully captures what a subcellular pattern actually looks like.
The real question is: given this image, which other images in the database look like it?
That’s the problem we set out to solve.
