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Harnessing the Power of the Crowd for Bioimage Analysis

Many different imaging modalities now routinely produce huge amounts of data thanks to increased acquisition speeds and extensive automation. Whilst computational image analysis techniques are constantly improving, it is often necessary to use manual analysis to some degree, in particular to provide ground truth annotations in order to train machine learning systems such as convolutional neural networks.