Related Experiment Video
Updated: May 7, 2026
Exploring the Application of Surface-enhanced Raman Scattering-based Biosensing of Individual sEVs in Disease Diagnosis and Therapeutics
Published on: March 13, 2026
Protocol for cerebrospinal fluid analysis using enrichment-enhanced surface-enhanced Raman spectroscopy and
Zhaoyi Li1, Dongjie Zhang2, Zhaoyang Cheng1
1Center for Biomedical-photonics and Molecular Imaging, Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education & Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China.
Abstract:
The rapid detection and precise classification of cerebrospinal fluid in acute leukemia patients constitute a crucial clinical imperative. Here, we present a protocol for cerebrospinal fluid analysis deep learning with enrichment-enhanced surface-enhanced Raman spectroscopy (DL-SERS) detection and transformer-enabled spectral classification. We describe steps for preparing SERS-active materials and samples and acquiring SERS spectral data. We then detail procedures for deep learning-based classification. This protocol enables highly sensitive and efficient identification of acute leukemia patients. For complete details on the use and execution of this protocol, please refer to Zhang et al.1.
