Rats and mice explore their environment by 3D whisker movements. However, most previous efforts to measure whisker movement have imaged whiskers only in the horizontal plane. Petersen et al developed a non-invasive whisker tracker that automatically reconstructs 3D whisker information directly from ‘stereo’ video data. The algorithm is able to track multiple whiskers in parallel with low error rate, and produces a 3D description of each tracked whisker, including its 3D orientation, 3D shape and bending-related mechanical force.
Image Credit: Andrea Colins Rodriguez, University of Manchester
Education
An educational guide for nanopore sequencing in the classroom
PLOS Computational Biology: published January 23, 2020 | https://doi.org/10.1371/journal.pcbi.1007314
Research Articles
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Computational optimization of associative learning experiments
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PLOS Computational Biology: published January 13, 2020 | https://doi.org/10.1371/journal.pcbi.1007598
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The role of actin protrusion dynamics in cell migration through a degradable viscoelastic extracellular matrix: Insights from a computational model
PLOS Computational Biology: published January 13, 2020 | https://doi.org/10.1371/journal.pcbi.1007250
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A single reaction-diffusion equation for the multifarious eruptions of urticaria
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The Dynamic Shift Detector: An algorithm to identify changes in parameter values governing populations
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Eco-evolutionary agriculture: Host-pathogen dynamics in crop rotations
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Transient amplifiers of selection and reducers of fixation for death-Birth updating on graphs
PLOS Computational Biology: published January 17, 2020 | https://doi.org/10.1371/journal.pcbi.1007529
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XPRESSyourself: Enhancing, standardizing, and automating ribosome profiling computational analyses yields improved insight into data
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