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| Tế bào đồ khối phổ hình ảnh× | Lập bản đồ nhạy cảm định lượng× | |
|---|---|---|
| Lĩnh vực | Chẩn đoán hình ảnh y học | Chẩn đoán hình ảnh y học |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 2014 | 2015 |
| Người khởi xướng≠ | Bernd Bodenmiller | Yong Wang |
| Loại≠ | Multiplexed single-cell imaging by mass spectrometry | Quantitative MRI contrast mechanism |
| Công trình gốc≠ | Giesen, C., Wang, H. A., Schapiro, D., et al. (2014). Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry. Nature Methods, 11(4), 417-422. DOI ↗ | Wang, Y., Liu, T. (2015). Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker. Magnetic Resonance in Medicine, 73(1), 82-101. DOI ↗ |
| Tên gọi khác≠ | IMC, mass cytometry, multiplex ion beam imaging, MIBI | QSM, susceptibility-weighted imaging |
| Liên quan | 5 | 5 |
| Tóm tắt≠ | Imaging Mass Cytometry (IMC) is a multiplexed proteomics technique that maps the subcellular localization of up to 40-50 proteins in tissue sections simultaneously using mass spectrometry detection. Developed by Bodenmiller and colleagues in 2014, IMC combines the single-cell imaging power of immunofluorescence with the multiplexing capacity of mass cytometry, enabling comprehensive analysis of cell types, states, and spatial interactions within tissue microenvironments. IMC has emerged as a powerful tool in immuno-oncology, immunobiology, and tissue biology for dissecting cellular heterogeneity and spatial organization. | Quantitative Susceptibility Mapping (QSM) is a post-processing technique that converts MRI phase data into quantitative susceptibility values, enabling direct visualization and measurement of tissue magnetic properties. Developed by Wang, Liu, and colleagues, QSM transforms phase shifts caused by differences in magnetic susceptibility between tissues into tissue-specific biomarkers. It has revolutionized the sensitivity of MRI to iron, calcium, and other paramagnetic and diamagnetic substances, making it valuable in neurodegenerative disease diagnosis and tissue characterization. |
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