李绍新简介
李绍新，男，湖南临澧人，1972年7月出生，博士，教授，硕士生导师，2018广东省‘’扬帆计划‘’高层次人才培养对象，现就职于广东医科大学生物医学工程学院物理教研室
一、学习经历
1992.09—1996.06，湘潭师范学院物理教育专业，理学学士学位。
2001.09—2004.06，华南师大激光所，光学专业理学硕士学位，导师刑达教授。
2010.09—2013.06，华南师大光电学院，光学专业理学博士学位，导师刘颂豪院士。
工作经历
1996.07—2001.06，湖南临澧二中任教。
2004.07—2010.12，广东医学院物理教研室讲师。
2011.01—2015.12，广东医学院物理教研室副教授。
2016.01—2019.10，广东医科大学物理教研室教授。
联系方式：lishaox@163.com
科研方向
主要专业方向为生物医学光子学，该方向属于光学、生物学、医学的学科交叉，其目的是将最新的光学技术应用到生物学医学的相关研究中，发展新的生物医学研究方法或手段。主要研究领域为拉曼光谱技术及其在癌症辅助诊断上的应用研究，该方向通过发展高灵敏的拉曼光谱检测技术，并将其应用到肿瘤标志物大分子的检测中。光学弱测量技术及其生物医学应用研究，该方向将国际最近发展的高灵敏量子弱测量技术应用到生物分子相互作用的非标记检测中，试图探索新的生物医学检测方法和技术。生物组织光学显微影像人工智能辅助病理诊断技术研究，该方向通过光学扫描显微镜将病理组织和细胞切片数字化，再用深度学习方法训练病理样品识别模型，实现对未知样品的智能医学诊断。
三、主要成果
主要成果在三个领域，第一，建立了循环肿瘤细胞非标记表面增强拉曼光谱鉴定方法，该方法通过发展微阵列银膜表面增强拉曼光谱芯片和基于深度学习的残差网络拉曼光谱识别模型，实现了肿瘤细胞和血液细胞拉曼光谱的高灵敏检测和快速准确识别，为发展循环肿瘤细胞的快速检测方法奠定了坚实的基础。第二，建立了基于光学弱测量的手性分子纯度高灵敏检测方法，课题组从量子力学弱值放大原理出发，搭建了一套高灵敏测量手性分子旋光度光学弱测量系统，结合测量手性分子浓度的紫外分光技术，实现了手性分子纯度的高灵敏检测，该方法无需分离样品，操作简单，在生物制药领域具有极大潜在应用价值，目前已经获得授权发明专利一项。第三，建立了染色体智能核型分析方法。该方法利用深度学习在染色体图片预处理、染色体分割、染色体分类、染色体异常检测等环节分别发展了相关深度学习网络模型，基本实现了染色体自动智能化核型分析，该成果的后续转化将极大降低医务工作者的负担，大幅提升染色体核型分析效率。
四、负责的科研项目
主持2021年广东医科大学学科建设项目《医学显微图像智能识别基础与应用转化研究》，直接经费：20万/年，执行日期：2021.1-2023.12
主持2021年广东省自然科学基金面上项目《深度学习联合表面增强拉曼光谱技术非标记检测尿脱落肿瘤细胞方法研究》，直接经费：10万，执行日期：2021.1-2023.12
主持2019年广东省自然科学基金面上项目《端粒酶活性的差分光学弱测量非标记检测方法研究》，直接经费：10万，执行日期：2019.10-2022.09
“扬帆计划”广东省高层次人才培养对象，广东省人才项目，2017年1月。
主持2015年国家自然科学基金面上项目《循环肿瘤细胞非标记表面增强拉曼光谱鉴定方法研究》，直接经费：56万，批准号：81571724，执行日期：2016.01- 2019.12
主持2017年广东省自然科学基金自由申请项目《循环DNA的非标记表面增强拉曼光谱定量检测方法研究》，直接经费：10万，批准号: 2017A030313387,执行日期：2017.05-2020.05
主持2014年广东卫生厅项目《氧化石墨烯介导的表面增强拉曼免疫检测体系的构建及其医学应用研究》，直接经费：5千, 批准号：A2014466，执行日期：2014.08-2016.08
五、专利
1. 李绍新,张延娇,郑鑫,李佳蔚. 一种手性分子纯度弱测量检测方法及其装置.专利号：2019100811019.2021年8月24日 （发明专利）
六、主要学术论文（*通信作者）
Xiaoying Zhang, Xin Wang, Mengling Ning, Peng Wang, Wen Wang, Xiaozhou Zhang, Zhiming Liu*, Yanjiao Zhang* and Shaoxin Li*,Fast Synthesis of Au Nanoparticles on Metal–Phenolic Network for Sweat SERS Analysis. Nanomaterials. 2022; 12(17):2977
Xiaoying Zhang, Xin Wang, Peng Wang, Qiuyue Fu, Zhaozhen Zhu, Chaocai Luo, Jieyi Chen, Yanjiao Zhang and Shaoxin Li. Facile synthesis of Ag-niobium ditelluride nanocomposites for the molecular fingerprint analysis of muscle tissues. Journal of Materials Chemistry, B. materials for biology and medicine, 2022(10-15).
Xiang-Lin Fang, Rui-Tong Zhao,Na Chen, Xin Wang, Peng Wang, Zhi-Wei He*, Shao-Xin Li*, Yang Xu, Yong-Hong He,Real-time monitoring the hydrolysis of chiral molecules by optical weak measurement, Optik，Volume 263, August 2022, 169340
Yang Xu, Chongqi Zhou, Dongmei Li, Cuixia Guo, Zhangyan Li, Xinhui Xing, Shaoxin Li, Tian Guan, Le Liu, Yonghong He. A stabilized weak measurement sensor for aptamer detection. Sensors and Actuators B: Chemical, 2022, 371:132509
Qiuyue Fu, Yanjiao Zhang, Peng Wang, Jiang Pi, Xun Qiu, Zhusheng Guo, Ya Huang, Yi Zhao, Shaoxin Li* and Junfa Xu*. Rapid identification of the resistance of urinary tract pathogenic bacteria using deep learning-based spectroscopic analysis. Analytical and Bioanalytical Chemistry. 413, 7401–7410 (2021) (SCI IF 4.157 )
https://doi.org/10.1007/s00216-021-03691-z
Qiu-yue Fu, Xiang-lin Fang, Yi Zhao, Xun Qiu, Peng Wang, Shao-xin Li*. Research progress of pathogenic bacteria and their drug resistance detection based on surface enhanced Raman technology. Spectrascopy and spectra analysis. ,2022,42(5):1339-1345
Xianglin Fang, Shaoxin Li#, Qiuyue Fu, Peng Wang, Xingda Wu, Yanjiao Zhang,Label-free identification of lung cancer cells from blood cells based on surface-enhanced Raman scattering and support vector machine,Optik. 248,168157,2021
Xingda Wu, Shaoxin Li#, Qiuyan Xu, Xinliang Yan, Qiuyue Fu, Xinxin Fu, Xianglin Fang*, and Yanjiao Zhang. Rapid and accurate identification of colon cancer by Raman spectroscopy coupled with convolutional neural networks[J]. Japanese Journal of Applied Physics. 2021. 60 067001(2021)
XiangLin Fang, QiuYao Zeng, XinLiang Yan, Zuyi Zhao, Na Chen, QianRu Deng, MengHan Zhu, YanJiao Zhang*, and ShaoXin Li*, Fast discrimination of tumor and blood cells by label-free surface-enhanced Raman spectra and deep learning, Journal of Applied Physics，129, 123103 (2021)
Yanjiao Zhang, Lixuan Shi, Yang Xu, Xin Zheng, Jiawei Li, Qin Wu, Shaoxin Li*,and Yonghong He, Optic quantum weak measurement coupled with UV spectrometry for sensitively and non-separatedly detecting enantiopurity, Optics Express 27(7):9330-9342 (2019)
Yang Xua, Lixuan Shi, Shaoxin Li*, Tian Guan, Suyi Zhong, Xuesi Zhou, Dongmei Li, Cuixia Guoa, Yuxuan Yang, Xiangnan Wang, Zhangyan Li, Yonghong He, Luyuan Xie, Zonghan Gan，Detection of Macromolecular Content in a Mixed Solution of Protein Macromolecules and Small Molecules Using a Weak Measurement Linear Differential System. Analytical Chemistry. 91(18):11576-11581 (2019)
Yanjiao Zhang,Qiuyao Zeng，Linfang Li，Minni Qi, Qichao Qi, Shaoxin Li*, Junfa Xu, Characterization and identification of lung cells from blood cells with lable-free surface-enhanced Raman scattering[J]. Laser Physics, 29:045602 (2019)
8. Yanjiao Zhang，Qiuyao Zeng，Linfang Li，Minni Qi, Qichao Qi, Shaoxin Li*,and Junfa Xu, Label-free rapid identification of tumor cells and blood cells with silver film SERS substrate, Optics Express 26(25):33044-33056(2018)
Yanjiao Zhang, Xiaoping Lai, Qiuyao Zeng, Linfang Li, Lin Lin, Shaoxin Li*, Zhiming Liu, Chengkang Su, Minni Qi, Zhouyi Guo. Classifying low-grade and high-grade bladder cancer using label-free serum surface-enhanced Raman spectroscopy and support vector machine[J]. Laser Physics, 28:035603 (2018)
Yanjiao Zhang, Minni Qi, Qichao Qi, Qin Wu, Lin Lin, Shaoxin Li*, Huailing Zhang. A preliminary study of surface enhanced Raman scattering immunoassay based on graphene oxide substrate[J]. Optik, 170:146-151 (2018)
Shaoxin Li*, Linfang Li, Qiuyao Zeng, Yanjiao Zhang, Zhouyi Guo, Zhiming Liu, Mei Jin, Chengkang Su, Lin Lin, Junfa Xu*，and Songhao Liu, Characterization and noninvasive diagnosis of bladder cancer with serum surface enhanced Raman spectroscopy and genetic algorithms, Scientific Reports 5:9582（2015）（ SCI IF 5.22）
Shaoxin Li*, Yanjiao Zhang*, Junfa Xu, Linfang Li, Qiuyao Zeng, Lin Lin, Zhouyi Guo, Zhiming Liu, Honglian Xiong, and Songhao Liu, Noninvasive prostate cancer screening based on serum surface-enhanced Raman spectroscopy and support vector machine, Appl. Phys. Lett. 105: 091104 (2014) （SCI IF3.5）
Shaoxin Li*, Gong Chen, Yanjiao Zhang, Zhouyi Guo, Zhiming Liu, Junfa Xu, Xueqiang Li and Lin Lin, Identification and characterization of colorectal cancer using Raman spectroscopy and feature selection techniques. Optics Express 22(21):25895-25908(2014) （SCI IF 3.5）
Shaoxin Li*, Yanjiao Zhang*, Qiuyao Zeng, Linfang Li, Zhouyi Guo, Zhiming Liu, Honglian Xiong, and Songhao Liu, Potential of cancer screening with serum surface-enhanced Raman spectroscopy and a support vector machine, Laser Phys. Lett. 11:065603 (2014) （SCI IF 2.96）
Shaoxin Li*, Zhouyi Guo, Zhiming Liu, Surface-enhanced Raman spectroscopy + support vector machine: a new noninvasive method for prostate cancer screening? Expert Review of Anticancer Therapy 15(1):5-7(2015) （SCI IF 2.2）
Shaoxin Li, Qiuyao Zeng, Linfang Li, Yanjiao Zhang, Mingming Wan, Zhiming Liu, Honglian Xiong, Zhouyi Guo* and Songhao Liu, Study of support vector machine and serum surface-enhanced Raman spectroscopy for noninvasive esophageal cancer detection, Journal of Biomedical Optics 18(2):027001 (2013)（SCI IF 2.8）
Shaoxin Li, Qiuyan Chen, Yanjiao Zhang, Zhiming Liu, Honglian Xiong, Zhouyi Guo*, Haiqaing Mai* and Songhao Liu, Detection of nasopharyngeal cancer using confocal Raman spectroscopy and genetic algorithm technique, Journal of Biomedical Optics 17(12):125003 (2012)(SCI IF 2.8)
Bingling Chen, Shaoxin Li, Jianghua Li*, Zhouyi Guo, Qiuyan Chen and Haiqiang Mai*, Optimal multivariate method for Raman spectroscopy based diagnosis of nasopharyngeal carcinoma, Journal of Applied Physics, 114(24): 244702-6, 2013 (共同第一作者) (SCI IF 2.2)
Jiao Gao, Yongjun Hu*, Shaoxin Li*, Yanjiao Zhang and Xue Chen, Tautomeric equilibrium of creatinine and creatininium cation in aqueous solutions explored by Raman spectroscopy and density functional theory calculations, Chemical Physics 410:81-89 (2013)(共同通信，SCI IF 1.9)
Jiao Gao, Yongjun Hu*, Shaoxin Li*, Yanjiao Zhang and Xue Chen, Adsorption of benzoic acid, phthalic acid on gold substrates studied by surface-enhanced Raman scattering spectroscopy and density functional theory calculations, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy 104C:41-47 (2012)(共同通信，SCI IF 2.1)
Zhiming Liu, Shaoxin Li, Chaofan Hu, Wen. Zhang, Huiqing Zhong and Zhouyi Guo*, pH-dependent surface-enhanced Raman scattering of aromatic molecules on graphene oxide, Journal of Raman Spectroscopy 44(1):75-80 (2013)(SCI IF 2.5)
Zhiming Liu, Chao Hu, Shaoxin Li, Wen Zhang and Zhouyi Guo*, Rapid intracellular growth of gold nanostructures assisted by functionalized graphene oxide and its application for surface-enhanced Raman spectroscopy, Analytical Chemistry 84(23):10338-10344 (2012)(SCI IF 5.8)
Ning Li, Shaoxin Li, Zhouyi Guo, Zhengfei Zhuang*, Rui Li, K Xiong, SＪChen and SＨLiu, Micro-Raman spectroscopy study of the effect of Mid-Ultraviolet radiation on erythrocyte membrane, Journal of Photochemistry and Photobiology. B, Biology 112:37-42 (2012)(SCI IF 2.8)
Mingming Wan, Zhiming Liu, Shaoxin Li, Biwen. Yang, Wen. Zhang, Xiaochu. Qin and Zhouyi. Guo*, Silver nanoaggregates on chitosan functionalized graphene oxide for high-performance surface-enhanced Raman scattering, Appl Spectrosc 67(7), 761-766 (2013) (SCI IF 1.9)
Xu Chen,Yongjun Hu*, Jiao Gao, Yanjiao Zhang, Shaoxin Li. Interaction of melamine molecules with silver nanoparticles explored by surface-enhanced Raman scattering and density functional theory calculations. Appl Spectrosc. 67(5):491-7 (2013) (SCI IF 1.9)
