Laser tweezers Raman spectroscopy combined with machine learning for diagnosis of Alzheimer's disease.

Lin, Manman; Ou, Haisheng; Zhang, Peng; Meng, Yanhong; Wang, Shenghao; Chang, Jing; Shen, Aiguo; Hu, Jiming

Lin, Manman; Ou, Haisheng; Zhang, Peng; Meng, Yanhong; Wang, Shenghao; Chang, Jing; Shen, Aiguo; Hu, Jiming.

Afiliación

Lin M; School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China; College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China.
Ou H; School of Physical Sciences and Technology, Guangxi Normal University, Guilin 541004, China.
Zhang P; School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China.
Meng Y; School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China.
Wang S; School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China.
Chang J; School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China.
Shen A; College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China. Electronic address: agshen@whu.edu.cn.
Hu J; College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China. Electronic address: jmhu@whu.edu.cn.

Spectrochim Acta A Mol Biomol Spectrosc ; 280: 121542, 2022 Nov 05.

Article en En | MEDLINE | ID: mdl-35792482

Asunto(s)

Enfermedad de Alzheimer; Enfermedad de Alzheimer/diagnóstico; Animales; Humanos; Aprendizaje Automático; Pinzas Ópticas; Ratas; Espectrometría Raman/métodos; Máquina de Vectores de Soporte

Palabras clave

Alzheimer's disease; Laser tweezers; Machine learning; Platelet; Raman spectroscopy

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer Tipo de estudio: Diagnostic_studies Límite: Animals / Humans Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Asunto de la revista: BIOLOGIA MOLECULAR Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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