KymoButler is a machine learning approach towards the reliable, quick, and fully automated analysis of the dynamics of fluorescently labelled particles in living cells.
Quantitative analyses of multi-dimensional microscopy datasets with a new Fiji/ImageJ plugin for cell tracking reveal the lineage restrictions and morphogenetic cellular behaviors underlying embryonic limb outgrowth in the direct developing crustacean Parhyale hawaiensis.
A multidisciplinary approach was used to translate the mathematical analysis of Dystrophin movements inside muscle cells into the biology of how Dystrophin interacts with the cell membrane.
eLife is introducing a new article type—called Tools and Resources—to highlight new experimental techniques, datasets, software tools and other resources.
The Real-Time Experimental Control with Graphical User Interface (REC-GUI) framework can facilitate cutting-edge neuroscience research by providing precise experimental control using high-level programming environments familiar to many experimentalists.
MorphoGraphX summarizes full 3D datasets as curved surface images (2.5D), enabling the efficient quantification of growth and gene expression data from large time-lapse volumetric datasets.
