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 • Steps for preparing the surface-enhanced Raman scattering enhancement substrate • Guidance on enrichment-assisted SERS detection of CSF • Procedures for training transformer-enabled spectral classification model Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. 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 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.
Li et al. (Mon,) studied this question.