Rapid developments at all levels of microscopy, such as contrast, illumination, resolution, signal detection and data processing have occurred over the last decades and there is reason to expect that these advances will continue. However, severe limitations in accuracy, reproducibility and throughput are caused by the involvement of humans in all steps of the imaging workflow. It also poses a significant burden and workload for the researcher. To improve this situation is the biggest challenge in automation.
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