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Showing 1–13 of 13 results
Advanced filters: Author: Jianxu Chen Clear advanced filters

  • This study presents a flexible AI-based method for compressing microscopy images, achieving high compression while preserving details critical for analysis, with support for task-specific optimization and arbitrary-resolution decompression.

    • Gaole Dai
    • Rongyu Zhang
    • Shanghang Zhang
    ResearchOpen Access
    Nature Computational Science
    P: 1-10

  • A dataset of 3D images from more than 200,000 human induced pluripotent stem cells is used to develop a framework to analyse cell shape and the location and organization of major intracellular structures.

    • Matheus P. Viana
    • Jianxu Chen
    • Susanne M. Rafelski
    ResearchOpen Access
    Nature
    Volume: 613, P: 345-354

  • Tuz et al. report that stroke and myocardial infarction induce the release of neutrophil extracellular traps (NETs), triggering the loss of B cells and a decrease in immunoglobulin A secretion, and that inhibition of NETs prevents the loss of immunoglobulin A in mice and in patients with stroke.

    • Ali A. Tuz
    • Susmita Ghosh
    • Vikramjeet Singh
    ResearchOpen Access
    Nature Cardiovascular Research
    Volume: 3, P: 525-540

  • Multimodal large language models have been recognized as a historical milestone in the field of artificial intelligence and have demonstrated revolutionary potentials not only in commercial applications, but also for many scientific fields. Here we give a brief overview of multimodal large language models through the lens of bioimage analysis and discuss how we could build these models as a community to facilitate biology research.

    • Shanghang Zhang
    • Gaole Dai
    • Jianxu Chen
    Comments & Opinion
    Nature Methods
    Volume: 21, P: 1390-1393

  • Video microscopy is key in studying cell migration, but accomplishing this in a high-throughput manner is still challenging. Here, the authors present an array microscope that can track the movements of thousands of individual cells simultaneously, and that can be used for drug screening studies.

    • Zülal Cibir
    • Jacqueline Hassel
    • Matthias Gunzer
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-13

  • Monoclonal antibodies with broadly neutralizing activity are being developed as potential treatment of influenza infections. Here, the authors describe a broadly neutralizing antibody with an unusual mode of binding to viral haemagglutinin, which has been isolated from patients convalescent from pandemic H1N1 influenza infection.

    • Ying Wu
    • MyungSam Cho
    • Ruben O. Donis
    ResearchOpen Access
    Nature Communications
    Volume: 6, P: 1-11

  • A key step toward biologically interpretable analysis of microscopy image-based assays is rigorous quantitative validation with metrics appropriate for the particular application in use. Here we describe this challenge for both classical and modern deep learning-based image analysis approaches and discuss possible solutions for automating and streamlining the validation process in the next five to ten years.

    • Jianxu Chen
    • Matheus P. Viana
    • Susanne M. Rafelski
    Comments & Opinion
    Nature Methods
    Volume: 20, P: 968-970

  • Deep learning has become essential in bioimaging for tasks. By examining data-centric strategies in general AI and revisiting existing deep learning methods in bioimaging, we describe a prototypical “BioData-Centric AI” framework. For AI users in bioimaging, this framework promotes a more practical approach beyond simply annotating large datasets or relying on a universal model. For method developers, it highlights key research directions to enhance AI toolboxes for the bioimaging community.

    • Jiajun Cao
    • Jan Wenzel
    • Jianxu Chen
    Comments & OpinionOpen Access
    npj Imaging
    Volume: 3, P: 1-7

  • Sustainability awareness is lacking in the development of AI systems and algorithms for healthcare. The authors discuss resource sustainability issues in energy, storage and domain knowledge, and present potential solutions.

    • Zhenge Jia
    • Jianxu Chen
    • Yiyu Shi
    Reviews
    Nature Machine Intelligence
    Volume: 5, P: 687-698

  • This Perspective presents a reliable and comprehensive source of information on pitfalls related to validation metrics in image analysis, with an emphasis on biomedical imaging.

    • Annika Reinke
    • Minu D. Tizabi
    • Lena Maier-Hein
    Reviews
    Nature Methods
    Volume: 21, P: 182-194