3,334 results found
    1. Computational and Systems Biology
    2. Neuroscience

    On the objectivity, reliability, and validity of deep learning enabled bioimage analyses

    Dennis Segebarth et al.
    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.
    1. Cell Biology
    2. Immunology and Inflammation

    Deep-learning-based three-dimensional label-free tracking and analysis of immunological synapses of CAR-T cells

    Moosung Lee et al.
    Rapid, label-free, volumetric, and automated assessment of the immunological synapse dynamics is demonstrated by combining optical diffraction tomography and deep-learning-based segmentation, providing a new option for immunological research.
    1. Neuroscience
    2. Physics of Living Systems

    Revealing architectural order with quantitative label-free imaging and deep learning

    Syuan-Ming Guo et al.
    Advances in quantitative phase and polarized light microscopy, combined with deep learning, reveal the architecture of human brain tissue.
    1. Computational and Systems Biology
    2. Neuroscience

    3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images

    Chentao Wen et al.
    A deep learning-based pipeline was developed for extracting cellular signals flexibly from moving cells in 3D time lapse images, and it outperformed previous methods under different imaging conditions.
    1. Computational and Systems Biology
    2. Neuroscience

    Towards deep learning with segregated dendrites

    Jordan Guerguiev et al.
    A multi-compartment spiking neural network model demonstrates that biologically feasible deep learning can be achieved if sensory inputs and higher-order feedback are received by different dendritic compartments.
    1. Neuroscience

    DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

    Jacob M Graving et al.
    A new deep-learning software toolkit with general-purpose methods for quickly and reliably measuring the full body posture of animals directly from images or videos without physical markers.
    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. Neuroscience

    DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

    Semih Günel et al.
    DeepFly3D, a deep learning-based software, measures limb and appendage movements in tethered, behaving Drosophila and enables precise behavioral measurements during neural recordings, stimulation, and other biological experiments.
    1. Neuroscience

    Drep-2 is a novel synaptic protein important for learning and memory

    Till F M Andlauer et al.
    Drep-2 is the first representative of the evolutionary conserved CIDE-N protein family found at synapses and is required for associative learning by functionally intersecting with metabotropic signaling.
    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.

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