Tools and Resources

A Tools and Resources article allows authors to publish the details of new experimental techniques, datasets, software tools, and other resources.

Latest articles

    1. Neuroscience

    Bayesian analysis of retinotopic maps

    Noah C Benson, Jonathan Winawer
    A novel Bayesian method of modeling retinotopic maps is more accurate than traditional voxel-wise methods and can be used to automatically derive high-quality maps.
    1. Developmental Biology

    Primed Track, high-fidelity lineage tracing in mouse pre-implantation embryos using primed conversion of photoconvertible proteins

    Maaike Welling et al.
    Primed Track is an image analysis tool that allows for computational correction of drifting specimen to enable accurate lineage tracing of mammalian pre-implantation development even for larger imaging time intervals.
    1. Neuroscience

    High-throughput synapse-resolving two-photon fluorescence microendoscopy for deep-brain volumetric imaging in vivo

    Guanghan Meng et al.
    Improved two-photon fluorescence microendoscopy enables volumetric imaging of synapses and neurons in deep brain structures in vivo.
    1. Neuroscience

    Cellular cartography of the organ of Corti based on optical tissue clearing and machine learning

    Shinji Urata et al.
    A method of generating comprehensive maps of cochlear cells was created and enabled researchers to study characteristics of cellular damage in aged and noise-exposed inner ear.
    1. Neuroscience

    CaImAn an open source tool for scalable calcium imaging data analysis

    Andrea Giovannucci et al.
    CaImAn is an open-software package that equips the neuroscience community with a set of turnkey, fast and scalable solutions to pre-processing problems arising in single cell calcium imaging data analysis.
    1. Genetics and Genomics
    2. Stem Cells and Regenerative Medicine

    Global DNA methylation remodeling during direct reprogramming of fibroblasts to neurons

    Chongyuan Luo et al.
    Induced neuronal cells acquire epigenomic signatures specific to matured neurons.
    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.