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    1. Cell Biology
    2. Physics of Living Systems

    KymoButler, a deep learning software for automated kymograph analysis

    Maximilian AH Jakobs et al.
    KymoButler is a machine learning approach towards the reliable, quick, and fully automated analysis of the dynamics of fluorescently labelled particles in living cells.
    1. Developmental Biology

    Multi-view light-sheet imaging and tracking with the MaMuT software reveals the cell lineage of a direct developing arthropod limb

    Carsten Wolff et al.
    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.
  1. Forking software used in eLife papers to GitHub

    As part of our mission to support reproducibility, eLife is now using GitHub to ensure the version of cited code within an article persists.
    1. Computational and Systems Biology

    Meta-Research: Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines

    Zeljana Babic et al.
    The use of Research Resource Identifiers (RRIDs) improves the proper use of cell lines in the biomedical literature.
    1. Structural Biology and Molecular Biophysics

    New tools for automated high-resolution cryo-EM structure determination in RELION-3

    Jasenko Zivanov et al.
    RELION-3 calculates single-particle reconstructions to higher resolution and with less user-interactions than previously available versions.
    1. Cell Biology
    2. Developmental Biology

    In vivo dynamics of skeletal muscle Dystrophin in zebrafish embryos revealed by improved FRAP analysis

    Fernanda Bajanca et al.
    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.
  2. Scientific Publishing: Recognizing the importance of new tools and resources for research

    Randy Schekman et al.
    eLife is introducing a new article type—called Tools and Resources—to highlight new experimental techniques, datasets, software tools and other resources.
    Editorial
    Available as:
    • HTML
    • PDF
    1. Neuroscience

    Real-time experimental control using network-based parallel processing

    Byounghoon Kim et al.
    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.
    1. Computational and Systems Biology
    2. Developmental Biology

    MorphoGraphX: A platform for quantifying morphogenesis in 4D

    Pierre Barbier de Reuille et al.
    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.