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Volume 16

  • Focus on Deep Learning in Microscopy

    Artwork representing the application of deep learning methods in microscopy.

  • Winner of the 2019 Nikon Small World photomicrography contest.

    Fluorescence image of a turtle embryo. This image was the winner of the 2019 Nikon Small World photomicrography contest.

  • Special Feature: Nature Methods turns 15!

    This month we celebrate the fifteen-year anniversary of Nature Methods. The cover artwork comprises images from previous covers of Nature Methods throughout the years.

  • Secondary structure detection with deep learning

    The deep-learning-based tool, Emap2sec, detects protein secondary structures in intermediate-resolution cryo-EM maps, as illustrated for the archaeal 20S proteasome.

    See Maddhuri Venkata Subramaniya et al.

  • Bacterial fluctuations in space and time

    The DIVERS approach was used to analyze bacterial spatiotemporal fluctuations from the gut microbiome and a soil bacterial community in Manhattan’s Central Park. The cover image is an artistic representation of a bacterium on a map of New York City.

    See Ji et al.

  • Controlled patterning of stem cell cultures

    Artificial signaling centers control cell fate patterning in embryonic organoids.

    See Manfrin et al.

  • Imaging glucose uptake in mice

    The image shows a colorful mouse eating a sugar cube. The shining light from the belly area is the result of luciferin reacting with luciferase.

    See Maric et al.

  • Detecting proteins and RNAs in single cells

    Artistic rendition of a high-content single-cell CRISPR screen enabled by a multimodal phenotyping tool.

    See Mimitou et al.

  • Tools for metabolomics

    A computational tool facilitates molecular formula, metabolite class and structure assignment of plant metabolites from LC-MS data.

    See Tsugawa et al.

  • Vascularized kidney organoids

    Kidney organoids cultured under flow create vascular networks that link to nearby organoids.

    See Homan et al.

  • Tracking animals in large populations

    Artistic representation of the idtracker.ai method for tracking individual animals in large collectives using video analysis and convolutional network algorithms.

    See Romero-Ferrero et al.

  • Method of the Year 2018

    Imaging in freely behaving animals is our Method of the Year 2018 for the possibilities this approach opens up in investigations of complex behaviors, including social interactions in a naturalistic environment.

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