超分辨率显微镜的人工智能分析：在缺乏地面实况的情况下发现生物。

IF 7.4 1区生物学 Q1 CELL BIOLOGY

Journal of Cell Biology Pub Date : 2024-08-05 Epub Date: 2024-06-12 DOI:10.1083/jcb.202311073

Ivan R Nabi, Ben Cardoen, Ismail M Khater, Guang Gao, Timothy H Wong, Ghassan Hamarneh

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引用次数: 0

摘要

超分辨率显微镜（或纳米镜）能够利用基于荧光的分子定位工具，研究完整细胞中纳米级别的分子结构，弥补了传统结构生物学方法在中尺度上的差距。通过人工智能（AI）（如机器学习）对超分辨率数据进行分析，为发现新生物学提供了巨大潜力。在此，我们将介绍弱监督范式在超分辨率显微镜中的应用，以及它在加速探索亚细胞大分子和细胞器纳米级结构方面的潜力。

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AI analysis of super-resolution microscopy: Biological discovery in the absence of ground truth.

Super-resolution microscopy, or nanoscopy, enables the use of fluorescent-based molecular localization tools to study molecular structure at the nanoscale level in the intact cell, bridging the mesoscale gap to classical structural biology methodologies. Analysis of super-resolution data by artificial intelligence (AI), such as machine learning, offers tremendous potential for the discovery of new biology, that, by definition, is not known and lacks ground truth. Herein, we describe the application of weakly supervised paradigms to super-resolution microscopy and its potential to enable the accelerated exploration of the nanoscale architecture of subcellular macromolecules and organelles.

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来源期刊

Journal of Cell Biology 生物-细胞生物学

CiteScore

12.60

自引率

2.60%

发文量

213

审稿时长

1 months

期刊介绍： The Journal of Cell Biology (JCB) is a comprehensive journal dedicated to publishing original discoveries across all realms of cell biology. We invite papers presenting novel cellular or molecular advancements in various domains of basic cell biology, along with applied cell biology research in diverse systems such as immunology, neurobiology, metabolism, virology, developmental biology, and plant biology. We enthusiastically welcome submissions showcasing significant findings of interest to cell biologists, irrespective of the experimental approach.