980 results found
    1. Neuroscience

    MAPLE (modular automated platform for large-scale experiments), a robot for integrated organism-handling and phenotyping

    Tom Alisch et al.
    A new versatile, autonomous, robotic experimental platform (MAPLE) can increase the throughput of biological experiments by automating the growth and phenotyping of a variety of model organisms.
    1. Neuroscience

    A corticostriatal deficit promotes temporal distortion of automatic action in ageing

    Miriam Matamales et al.
    Acquisition of behavioral sequences in normally aged mice involves short and unusually fast patterns of action, some of which are reproduced by striatal circuitry manipulations in young mice and can be transitorily restored through action-related feedback.
    1. Computational and Systems Biology
    2. Neuroscience

    Graphical-model framework for automated annotation of cell identities in dense cellular images

    Shivesh Chaudhary et al.
    Unbiased and automatic annotation using structured prediction framework with efficiently built data-driven atlases is more accurate than registration-based methods for cell identifications in dense images and enables fast whole-brain analysis.
    1. Neuroscience

    A machine-vision approach for automated pain measurement at millisecond timescales

    Jessica M Jones et al.
    Development of a fully automated pain scale using machine learning tools in computational neuroethology and creation of new software, reveals a robust circuit-dissection compatible platform for objective pain measurement.
    1. Stem Cells and Regenerative Medicine

    A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids

    Henrik Renner et al.
    Automated liquid handling, whole mount staining, and clearing allow unbiased 3D quantitation of cell markers in human neural organoids with diameters of up to 1 mm at the single-cell level.
    1. Neuroscience

    Automatic discovery of cell types and microcircuitry from neural connectomics

    Eric Jonas, Konrad Kording
    An algorithm for analysing brain connectivity data identifies cell types and connections in simple (C. elegans) and complex (mouse) nervous systems, and can even resolve structure and connectivity in a man-made microprocessor.
    1. Cell Biology
    2. Computational and Systems Biology

    Active machine learning-driven experimentation to determine compound effects on protein patterns

    Armaghan W Naik et al.
    In an investigation into the effects of drugs on proteins, an active machine learning algorithm chose which sets of experiments to perform and was able to learn an accurate model of the effects after doing only a fraction of the experiments.
    1. Neuroscience

    Multi-neuron intracellular recording in vivo via interacting autopatching robots

    Suhasa B Kodandaramaiah et al.
    A robot capable of automatically obtaining blind whole cell patch clamp recordings from multiple neurons simultaneously guides four interacting electrodes in a coordinated fashion, avoiding mechanical coupling in the brain.
    1. Neuroscience

    Automated task training and longitudinal monitoring of mouse mesoscale cortical circuits using home cages

    Timothy H Murphy et al.
    A new methodology and protocol use automated brain imaging and task training technology to probe links between behavior and mouse cortical circuits.
    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.

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