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Updated: Jan 8, 2026

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli
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具有机器学习的pH/粘度双响应光探测器使得可以对血栓年龄进行定量预测

Cheng Tao1, Yan Zhang1, Zhihao Zhang2

  • 1Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Jiangsu, China.

Advanced healthcare materials
|December 20, 2025
PubMed
概括

准确地确定血栓年龄对于治疗至关重要. 这项研究开发了一种光探针和机器学习模型,以精确估计血栓年龄,帮助个性化治疗血栓性疾病.

关键词:
光探测器的光探测器机器学习是机器学习.它们的pH值为pH.血栓形成的原因是血栓形成.血栓 年龄 血栓 年龄粘度 粘度 粘度 粘度 粘度

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Fluorescence and Phosphorescence: Instrumentation01:25

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Fluorometers and spectrofluorometers are two types of instruments used for measuring molecular fluorescence. These instruments differ in how they select excitation and emission wavelengths and the type of light sources they utilize. Fluorometers use absorption interference filters to choose excitation and emission wavelengths. The excitation source in a fluorometer is typically a low-pressure mercury vapor lamp that emits intense lines distributed throughout the ultraviolet and visible regions.
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