Cargando…
Application of serum SERS technology combined with deep learning algorithm in the rapid diagnosis of immune diseases and chronic kidney disease
Surface-enhanced Raman spectroscopy (SERS), as a rapid, non-invasive and reliable spectroscopic detection technique, has promising applications in disease screening and diagnosis. In this paper, an annealed silver nanoparticles/porous silicon Bragg reflector (AgNPs/PSB) composite SERS substrate with...
Autores principales: | Yang, Jie, Chen, Xiaomei, Luo, Cainan, Li, Zhengfang, Chen, Chen, Han, Shibin, Lv, Xiaoyi, Wu, Lijun, Chen, Cheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514316/ https://www.ncbi.nlm.nih.gov/pubmed/37735599 http://dx.doi.org/10.1038/s41598-023-42719-5 |
Ejemplares similares
-
Raman spectroscopy combined with a support vector machine algorithm as a diagnostic technique for primary Sjögren’s syndrome
por: Chen, Xiaomei, et al.
Publicado: (2023) -
Rapid diagnosis of membranous nephropathy based on serum and urine Raman spectroscopy combined with deep learning methods
por: Zhang, Xueqin, et al.
Publicado: (2023) -
SERS Liquid Biopsy Profiling of Serum for the Diagnosis of Kidney Cancer
por: Moisoiu, Tudor, et al.
Publicado: (2022) -
Rapid and precise detection of cancers via label-free SERS and deep learning
por: Xiong, Chang-Chun, et al.
Publicado: (2023) -
Serum uromodulin and progression of kidney disease in patients with chronic kidney disease
por: Lv, Li, et al.
Publicado: (2018)