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High-content microscopy: big-data biology goes spatio-temporal

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Biology is intrinsically spatio-temporal and microscopy has always played a critical role in its history. With the development of fluorescence microscopy, genetics tools, automated microscopes and image analysis, dataset involving thousands of conditions ranging tens of Tb of intracellular single-cell information are becoming common. This seminar will present an overview of the field, focusing on work done in Cambridge using fission yeast as a model to look into cell morphogenesis.

This talk is part of the Computational and Systems Biology series.

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