质量细胞仪
分辨率(逻辑)
流式细胞术
细胞仪
亚细胞定位
计算生物学
高分辨率
化学
细胞生物学
生物物理学
生物
分子生物学
计算机科学
生物化学
遥感
人工智能
表型
基因
细胞质
地理
作者
Alina Bollhagen,James Whipman,Ricardo Coelho,Viola Heinzelmann‐Schwarz,Francis Jacob,Bernd Bodenmiller
标识
DOI:10.1038/s41592-025-02889-8
摘要
Imaging mass cytometry (IMC) is a powerful multiplexed imaging technology used to investigate cell phenotypes and spatial organization of tissue in health and disease. The spatial resolution of IMC is presently at 1 µm, enabling the resolution of single cells and large subcellular compartments but not submicrometer intracellular structures. Here we report a method to improve the resolution of IMC so that it approaches that of light microscopy. High-resolution IMC (HR-IMC) uses an oversampling approach coupled with point-spread function-based deconvolution to achieve a resolution below 350 nm. We demonstrate the performance of HR-IMC in resolving subcellular structures, such as nuclear foci and mitochondrial networks previously undetectable with IMC, and applied it to visualize chemotherapy-induced perturbation of patient-derived ovarian cancer cells. HR-IMC extends highly multiplex IMC analyses into the subcellular regime, enabling analysis of cell biological features and characteristics of disease.
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