eLife is introducing a new article type—called Tools and Resources—to highlight new experimental techniques, datasets, software tools and other resources.
Dmitry Kobak, Wieland Brendel ... Christian K Machens
A new data analysis tool provides a concise way of visualizing neural data that summarizes all the relevant features of the population response in a single figure.
Visualization methods display the dynamics of the currents in conductance-based model neurons, and show how their contribution changes in response to perturbation.
Under fluid shear, living cells deform elliptically, align in flow direction, and rotate, from which their frequency-dependent viscoelastic properties can be inferred.
A robust fluorescence microscopy-based data acquisition and analysis framework affords the precise measurement of cell surface receptor affinities toward their cognate ligands and their densities in live cells/tissues.
Srinivas Gorur-Shandilya, Elizabeth M Cronin ... Eve Marder
Mapping spike patterns from a small identified circuit reveals the diversity and complexity of circuit dynamics across animals and in response to perturbations.
Stephan Kamrad, María Rodríguez-López ... Jürg Bähler
An open-source python package for phenotype analyses provides a versatile, modular and user-friendly solution to determine complementary fitness-related traits from large-scale assays of microbial colonies.
Dennis Segebarth, Matthias Griebel ... Robert Blum
A comparison of different bioimage analysis pipelines reveals how deep learning can be used for automatized and reliable analysis of fluorescent features in biological datasets.
Pedro J Gonçalves, Jan-Matthis Lueckmann ... Jakob H Macke
Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.