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Found 2 papers, 2 papers with code
Learning optimal integration of spatial and temporal information in noisy chemotaxis
We investigate the boundary between chemotaxis driven by spatial estimation of gradients and chemotaxis driven by temporal estimation.
Fast spline detection in high density microscopy data
Computer-aided analysis of biological microscopy data has seen a massive improvement with the utilization of general-purpose deep learning techniques.
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