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In microscopy, the time burden and cost of acquiring and annotating largedatasets that many deep learning models take as a prerequisite, often appearsto make these methods impractical. Can this requirement for annotated data berelaxed? Is it possible to borrow the knowledge gathered from datasets in otherapplication fields and leverage it for microscopy? Here, we aim to provide anoverview of methods that have recently emerged to successfully trainlearning-based methods in bio-microscopy.

Free annotated data for deep learning in microscopy? A hitchhiker's guide