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Showing 1–6 of 6 results
Advanced filters: Author: Zhouyi Rong Clear advanced filters

  • Achieving extremely fast charging while maintaining high energy density remains a challenge in the battery field. Here the authors conceptualize a porous current collector that successfully reduces the effective Li+ transport distance by half, quadrupling the diffusion-limited C-rate capability without compromising battery energy density.

    • Yusheng Ye
    • Rong Xu
    • Yi Cui
    Research
    Nature Energy
    Volume: 9, P: 643-653

  • Generating training data for training deep-learning-based tools is time consuming. The DELiVR pipeline facilitates this process as demonstrated in this study on detecting c-Fos+ cells or microglia in the brain, following tissue clearing and imaging with light-sheet microscopy.

    • Doris Kaltenecker
    • Rami Al-Maskari
    • Ali Ertürk
    ResearchOpen Access
    Nature Methods
    Volume: 21, P: 1306-1315

  • Organ segmentation of whole-body mouse images is essential for quantitative analysis, but is tedious and error-prone. Here the authors develop a deep learning pipeline to segment major organs and the skeleton in volumetric whole-body scans in less than a second, and present probability maps and uncertainty estimates.

    • Oliver Schoppe
    • Chenchen Pan
    • Bjoern H. Menze
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-14

  • This protocol describes labeling, clearing, imaging and cellular-level three-dimensional image reconstruction of intact human organs achieved with the help of a novel tissue clearing and labeling technology and a commercially available microscope.

    • Hongcheng Mai
    • Zhouyi Rong
    • Ali Ertürk
    Protocols
    Nature Protocols
    Volume: 17, P: 2188-2215