Browse the search results

Page 2 of 618
    1. Neuroscience

    Extracellular space preservation aids the connectomic analysis of neural circuits

    Marta Pallotto et al.
    Automated segmentation of neurons and identification of synapses in electron micrographs is significantly improved by using simple modifications to chemical fixation protocols that preserve extracellular space in the brain.
    1. Neuroscience

    A platform for brain-wide imaging and reconstruction of individual neurons

    Michael N Economo et al.
    High-resolution fluorescence imaging of the complete mouse brain enables many neurons to be efficiently visualized in their entirety, revealing all targets of neurons that project widely across the brain.
    1. Computational and Systems Biology
    2. Genetics and Genomics

    Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals

    Agata Wesolowska-Andersen et al.
    Combination of deep learning models trained on tissue-specific genomic data and fine-mapping approaches supports efforts to identify causal variants and mechanisms at GWAS loci.
    1. Cell Biology
    2. Developmental Biology

    Anillin regulates epithelial cell mechanics by structuring the medial-apical actomyosin network

    Torey R Arnold et al.
    In epithelial cells, anillin organizes the medial-apical actomyosin cortex into a contractile load-bearing structure and increases tissue-level stiffness.
    1. Cell Biology
    2. Immunology and Inflammation

    Plasma membrane overgrowth causes fibrotic collagen accumulation and immune activation in Drosophila adipocytes

    Yiran Zang et al.
    Excess membrane can trap outgoing extracellular matrix proteins in secreting cells, leading to pericellular deposits that cause tissue damage.
    1. Neuroscience

    Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers

    Denis A Engemann et al.
    Predicting age jointly from multimodal brain images and electrophysiology with machine learning enhances detecting health issues and facets of cognitive decline.
    1. Computational and Systems Biology
    2. Developmental Biology

    An image-based data-driven analysis of cellular architecture in a developing tissue

    Jonas Hartmann et al.
    A computational strategy for extracting representative numerical features from 3D microscopy data enables in-depth quantitative analysis of cell and tissue organization through machine learning-driven data integration and context-guided visualization.
    1. Cell Biology
    2. Developmental Biology

    Philosophy of Biology: The analysis of living systems can generate both knowledge and illusions

    Antony M Jose
    By thinking about experimental techniques in terms of six broad approaches – perturbation, visualization, substitution, characterization, reconstitution, and simulation – researchers may be able to generate more reliable inferences.