Even state-of-the-art implementations of high-content screening and event-driven feedback microscopy still fall short in placing high-resolution single-cell data in a population-wide context. This is in contrast to other single-cell techniques, such as flow cytometry, where it is natural to assess the whole sample population. Even when overview sample information is theoretically available, such as with high-content imaging, the information is not used to control the acquisition of images or resample cells of interest at higher resolution. We sought to provide a general solution that combines image analysis and acquisition, allowing a data-driven approach to microscopy where acquisition and content analysis is coupled to achieve higher fidelity.
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