3,721 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. Stem Cells and Regenerative Medicine

    Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes

    Francis Grafton et al.
    Deep learning combined with induced pluripotent stem cell technology is an effective method to interrogate cellular phenotypes and predict patterns of cardiotoxicity in vitro.
    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. Genetics and Genomics
    2. Medicine

    Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning

    Yi Liu et al.
    Systematic quantification of abdominal organ health parameters using deep learning generates new insights into the genetic architecture of cardiometabolic health traits.
    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. Computational and Systems Biology
    2. Stem Cells and Regenerative Medicine

    A deep learning algorithm to translate and classify cardiac electrophysiology

    Parya Aghasafari et al.
    A deep learning network can classify cardiac myocytes into drug-free and drugged categories and predict the impact of electrophysiological perturbation across the continuum of aging.

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