光成像的前沿:用于在现场检测疾病生物标志物的工具
Lei Yang1, Hongwei Hou2, Jinghong Li1,2
1Department of Chemistry, Center for Bioanalytical Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology, Tsinghua University, Beijing 100084, China. jhli@mail.tsinghua.edu.cn.
Journal of materials chemistry. B
|December 13, 2024
概括
光成像通过实现实时生物标志物检测来推进疾病诊断. 人工智能 (AI) 正在增强光探针和成像,以更精确地识别疾病和评估治疗.
科学领域:
- 生物医学成像技术 生物医学成像技术
- 分子成像学分子成像学
- 纳米技术 纳米技术
背景情况:
- 光成像对于在生物系统中实时检测生物标志物至关重要,有助于疾病诊断和治疗.
- 进步包括NIR-II,超分辨率和3D成像,改善组织透和对比度.
- 探测器特异性,成像深度,分辨率和信号噪声比仍然存在挑战.
研究的目的:
- 审查光体的化学修饰和生物标志物的现场可视化.
- 讨论人工智能 (AI) 驱动的光成像方面的突破.
- 提供对光成像技术在疾病诊断方面的进展的全面了解.
主要方法:
- 对经典光剂的化学修饰进行了审查.
- 在现场可视化生物标记物 (金属离子,反应性物种,酶).
- 在光成像探针设计和性能中探索AI应用.
主要成果:
- 新型光探测器和先进的成像技术增强了生物标志物检测.
- 人工智能集成为精确的疾病诊断提供了新的工具.
- 在改善成像深度,对比度和分辨率方面取得了重大进展.
结论:
- 由人工智能增强的光成像显示出早期疾病诊断和治疗评估的巨大前景.
- 探测器和成像技术的持续发展至关重要.
- 人工智能即将彻底改变用于生物标志物检测的光成像.
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