2,960 results found
    1. Neuroscience

    Multi-contrast anatomical subcortical structures parcellation

    Pierre-Louis Bazin et al.
    An open-source software tool enables the anatomical parcellation of an unprecedented number of subcortical structures in magnetic resonance images of the human brain, automatically and in individual subjects.
    1. Developmental Biology

    The Drosophila Individual Activity Monitoring and Detection System (DIAMonDS)

    Ki-Hyeon Seong et al.
    The DIAMonDS can automatically and sequentially identify time points of multiple life cycle events such as pupariation, eclosion, and death in individual flies at high temporal resolution and large scale.
    1. Computational and Systems Biology
    2. Neuroscience

    Tuning movement for sensing in an uncertain world

    Chen Chen et al.
    Animals work in a world full of surprises, where using energy to position sensors proportional to the location's expected information avoids the pitfalls of positioning them at the information maxima.
    1. Neuroscience

    SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters

    Jeremy Magland et al.
    Ten popular spike sorting codes are reproducibly benchmarked for accuracy on electrophysiology datasets from eleven laboratories with interactive web-based exploration of thousands of ground-truth units.
    1. Computational and Systems Biology
    2. Developmental Biology

    Untwisting the Caenorhabditis elegans embryo

    Ryan Patrick Christensen et al.
    Open-source software can untwist images of live Caenorhabditis elegans embryos, allowing epidermal and neuronal cell position and morphology to be examined in previously inaccessible developmental time periods.
    1. Computational and Systems Biology

    Unsupervised machine learning reveals risk stratifying glioblastoma tumor cells

    Nalin Leelatian et al.
    A new automated and unsupervised algorithm, Risk Assessment Population IDentification, identifies risk-stratifying cells in single cell datasets with robust statistical and biological validation.
    1. Cancer Biology
    2. Computational and Systems Biology

    Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data

    Julien Racle et al.
    A novel method predicts cancer and immune cell types from bulk tumor gene expression data with the ability to consider uncharacterized and possibly highly variable cell types, which is validated in human genome.
    1. Computational and Systems Biology
    2. Neuroscience

    Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain

    Xuechun Wang et al.
    A dual-channel image registration pipeline combined with deep-learning inference achieves accurate-and-flexible registration/segmentation/mapping of mouse brain.
    1. Computational and Systems Biology
    2. Neuroscience

    A connectome and analysis of the adult Drosophila central brain

    Louis K Scheffer et al.
    New reconstruction methods are used to create a publicly available dense reconstruction of the neurons and chemical synapses of central brain of Drosophila, with analysis of its graph properties.
    1. Structural Biology and Molecular Biophysics

    Top-down machine learning approach for high-throughput single-molecule analysis

    David S White et al.
    A new analysis algorithm (DISC) enables accurate analysis of data from high-throughput single-molecule paradigms and reveals a non-cooperative binding mechanism of cyclic nucleotide-binding domains from HCN ion channels.

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