多部门关注拉曼网络和表面增强的拉曼光谱技术用于神经系统疾病的分类
Changchun Xiong1,2, Qingshan Zhong1,3, Denghui Yan1,2
1Research Institute of Medical and Biological Engineering, Ningbo University, Ningbo 315211, China.
Biomedical optics express
|June 13, 2024
概括
本研究介绍了用于分析复杂的生物医学光谱数据的多分支注意力拉曼网络 (MBA-RamanNet). 通过使用表面增强的拉曼光谱 (SERS) 数据,MBA-RamanNet提高了疾病分类准确性.
科学领域:
- 生物医学诊断 生物医学诊断
- 频谱学是一种光谱学.
- 机器学习 机器学习
背景情况:
- 表面增强拉曼光谱 (SERS) 提供快速,非侵入性和超敏感的生物医学诊断.
- 由于复杂的预处理和建模要求,分析非目标SERS光谱数据用于疾病识别是具有挑战性的.
研究的目的:
- 开发一个先进的深度学习模型,以更好地分析和解释非目标SERS数据.
- 通过使用SERS光谱签名来提高神经系统疾病分类的准确性.
主要方法:
- 提出了一种新的多分支注意力拉曼网络 (MBA-RamanNet),结合了卷积块注意力模块 (CBAM) 和深度卷积模块 (DCM) 的分支.
- 采用自主训练的分支权重来融合全球和本地光谱信息以优化功能.
- 使用非目标血清SERS数据进行分类任务.
主要成果:
- MBA-RamanNet在对健康对照,轻度认知障碍,阿尔茨海默病和非阿尔茨海默氏症痴呆症的分类中实现了88.24%的准确性.
- 该模型在对健康对照组,老年人抑郁症和老年人焦虑症的分类中达到90%的准确性.
- 与传统的卷积神经网络 (CNN) 方法相比,其表现优越.
结论:
- MBA-RamanNet有效地从SERS数据中提取和融合全球和本地光谱信息.
- 拟议的网络显著提高了神经系统疾病分类的准确性.
- 突出了基于SERS的生物医学诊断中先进的深度学习模型的潜力.
相关概念视频
01:20Raman Spectroscopy: Overview
360
The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
360
01:26Raman Spectroscopy Instrumentation: Overview
324
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...
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...
324