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基于脏组织拉曼光谱和深度学习的膜性病的快速诊断

Guoqiang Zhu1, Halinuer Shadekejiang1, Xueqin Zhang2

  • 1The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.

Scientific reports
|April 15, 2025
PubMed
概括

诊断膜性病 (MN) 是一个挑战. 这项研究引入了一种使用拉曼光谱和人工智能的快速方法,用于从脏组织中准确诊断MN,改善目前的诊断局限性.

关键词:
深度学习是一种深度学习.早期诊断 早期诊断 早期诊断膜性脏病是一种膜性脏病.拉曼光谱法 拉曼光谱法

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Raman Spectroscopy Instrumentation: Overview01:26

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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