ArticleCell reports. Medicine2025
Rapid and sensitive acute leukemia classification and diagnosis platform using deep learning-assisted SERS detection.
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Article in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Spectroscopic Signature of Apoptosis Induced by Venetoclax in Philadelphia-Positive Acute Lymphoblastic Leukemia.Analytical chemistry · 2026Article
- Protocol for cerebrospinal fluid analysis using enrichment-enhanced surface-enhanced Raman spectroscopy and transformer-enabled spectral classification.STAR protocols · 2026Article
- Serum KIM-1 molecular early warning radar: SERS combined with artificial intelligence for accurate early diagnosis of chronic kidney disease.Mikrochimica acta · 2026Article
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Authors and funding
26 authors.
Dongjie ZhangCenter 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; Bi-optoelectronic-integration and Medical Instrumentation Laboratory, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong 510555, China; State Key Laboratory of Electromechanical Integrated Manufacturing of High-Performance Electronic Equipment, Xidian University, Xi'an, Shaanxi 710071, China.
Zhaoyang ChengCenter 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.
Yali SongDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Huandi LiCenter 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.
Lin ShiCenter 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.
Nan WangCenter 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.
Yingwen PengCenter 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; Bi-optoelectronic-integration and Medical Instrumentation Laboratory, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong 510555, China.
Renan ChenDepartment of Hematology, Xi'an Daxing Hospital affiliated to Yan'an University, Xi 'an, Shaanxi 710082, China. Electronic address: chen-renan@163.com.
Nianzheng SunDepartment of Pediatrics, Qilu Hospital of Shandong University, Jinan, Shandong 250012, China; Department of Hematology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, Shandong 253000, China. Electronic address: sdqlyysnz@email.sdu.edu.cn.
Min HanDepartment of Neurosurgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong 250014, China. Electronic address: hanmin@sdfmu.edu.cn.
Fengjiao HuDepartment of Laboratory Medicine, Chengdu Shangjin Nanfu Hospital/Shangjin Branch of West China Hospital, Sichuan University, Chengdu, Sichuan 611730, China.
Chuntao ZongDepartment of Hematology, Xi'an Daxing Hospital affiliated to Yan'an University, Xi 'an, Shaanxi 710082, China.
Rui ZhangDepartment of Hematology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, Shandong 253000, China.
Si ChenDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Conghui ZhuDepartment of Hematology, Xi'an Daxing Hospital affiliated to Yan'an University, Xi 'an, Shaanxi 710082, China.
Xiaoli ZhangDepartment of Hematology, Xi'an Daxing Hospital affiliated to Yan'an University, Xi 'an, Shaanxi 710082, China.
Xiaobo LiShaanxi Key Laboratory of High-Orbits-Electron Materials and Protection Technology for Aerospace, School of Advanced Materials and Nanotechnology, Xidian University, Xi'an, Shaanxi 710126, China.
Xiaopeng MaSchool of Control Science and Engineering, Shandong University, Jinan, Shandong 150061, China.
Changbei ShiShaanxi Provincial Cancer Hospital, Xi'an, Shaanxi 710061, China.
Xiaofei ZhangKey Laboratory of Basic and New Drug Research of Tradinonal Chinese Medicine, Shaanxi Universily of Chinese Medicine, Xianyang, Shaanxi 712046, China.
Rui LiuCenter 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.
Ziqi RenCenter 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.
Lin WangSchool of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi 710048, China.
Qi ZengCenter 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. Electronic address: qzeng@xidian.edu.cn.
Tingting ZengDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China; Department of Laboratory Medicine, Chengdu Shangjin Nanfu Hospital/Shangjin Branch of West China Hospital, Sichuan University, Chengdu, Sichuan 611730, China. Electronic address: zengtingting80@scu.edu.cn.
Xueli ChenCenter 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; Bi-optoelectronic-integration and Medical Instrumentation Laboratory, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong 510555, China; State Key Laboratory of Electromechanical Integrated Manufacturing of High-Performance Electronic Equipment, Xidian University, Xi'an, Shaanxi 710071, China. Electronic address: xlchen@xidian.edu.cn.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rapid identification and accurate diagnosis are critical for individuals with acute leukemia (AL). Here, we propose a combined deep learning and surface-enhanced Raman scattering (DL-SERS) classification strategy to achieve rapid and sensitive identification of AL with various subtypes and genetic abnormalities. More than 390 of cerebrospinal fluid (CSF) samples are collected as targets, encompassing healthy control, AL patients, and individuals with other diseases. Sensitive SERS detection could be achieved within 5 min, using only 0.5 μL volume of CSF. Through integrated feature fusion (1D spectra and 2D image) with a transformer model, the classification method is developed to screen and diagnose AL patients, demonstrating exceptional classification performances of accuracy, sensitivity, specificity, or reliability. Also, this approach demonstrates remarkable versatility and could be extended to the classifications of meningitis diseases. The sensitive DL-SERS classification platform has the potential to be a powerful auxiliary in vitro diagnostic tool.
Indexed as
Deep LearningLeukemiaSpectrum Analysis, RamanHumansReproducibility of ResultsSensitivity and Specificityacute leukemiacerebrospinal fluidsdeep learningsurface enhanced raman scattering
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