8,206 results found
    1. Cell Biology
    2. Developmental Biology

    CytoCensus, mapping cell identity and division in tissues and organs using machine learning

    Martin Hailstone et al.
    Easy-to-use image analysis software enables single cell quantitation of cell types and division rates in complex 3D tissues including living Drosophila brains, mouse embryos and Zebrafish organoids.
    1. Cancer Biology
    2. Medicine

    Improving drug discovery using image-based multiparametric analysis of the epigenetic landscape

    Chen Farhy et al.
    A novel phenotypic screening platform based on immunofluorescent imaging of histone modifications enables accurate identification of cell fates and environmental perturbations.
    1. Developmental Biology

    Image3C, a multimodal image-based and label-independent integrative method for single-cell analysis

    Alice Accorsi et al.
    Image3C is a new image-based analysis of cell population composition for research organisms in which detailed cellular phenotypes are unknown or for which species-specific reagents are not available.
    1. Cancer Biology
    2. Cell Biology

    Tracking cells in epithelial acini by light sheet microscopy reveals proximity effects in breast cancer initiation

    Ashna Alladin et al.
    The presented primary epithelial acinus-based platform for studying interactions between normal and malignant cells will enable in depth analysis of the tumor initiation process on a molecular level.
    1. Developmental Biology
    2. Plant Biology

    Organ geometry channels reproductive cell fate in the Arabidopsis ovule primordium

    Elvira Hernandez-Lagana et al.
    In the Arabidopsis ovule primordium, germinal fate plasticity is coupled to the morphogenetic processes shaping the organ.
    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. Computational and Systems Biology
    2. Developmental Biology

    A versatile pipeline for the multi-scale digital reconstruction and quantitative analysis of 3D tissue architecture

    Hernán Morales-Navarrete et al.
    MotionTracking is freely available software that can generate multi-scale geometrical models of mammalian tissue and perform quantitative analysis of tissue architecture.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Defining host–pathogen interactions employing an artificial intelligence workflow

    Daniel Fisch et al.
    The application of deep learning fills a major gap in host–pathogen research providing for unbiased, multi-module high-throughput image analysis.
    1. Epidemiology and Global Health
    2. Microbiology and Infectious Disease

    Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure

    Romain F Laine et al.
    Machine learning in conjunction with super-resolution imaging allows for the first time to quantitatively analyse large and heterogenous virus samples structure at a high throughput and specificity.
    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.

Refine your results by:

Type
Research categories