马翔云

Email: mxy@nankai.edu.cn

 

教育经历

2012.09–2016.07：天津大学，学士

2016.09–2018.07：天津大学，硕士

2018.09–2022.01：天津大学，博士

2019.07–2020.01：不列颠哥伦比亚大学，联合培养

 

工作经历

2022.04–2025.07：天津大学，助理研究员

2025.08–2026.06：天津大学，专任研究员

2026.06–至今：南开大学，副教授

 

科研方向

光谱成像技术及仪器

 

科研项目

国家自然基金面上项目，用于单细菌快速测量的多态偏振编码拉曼光谱技术研究，主持

国家自然基金青年项目，用于芽孢杆菌检测的光照调制单细胞拉曼光谱技术研究，主持

天津市计量科技项目，基于炎性肠病的肠道菌群快速定量检测技术的开发应用，主持

天津市卫生信息学会项目，基于多模态MRI的中低位直肠癌壁外侵犯程度智能分析系统，主持

天津市军民融合子项目，基于***********识别系统，主持

自主基金项目，原子级制造发展战略研究，主持

自主基金项目，基于拉曼光谱的生物因子检测技术及仪器，主持

横向项目，在线自适应智能决策算法的开发与测试，主持

横向项目，激光器测试系统中嵌入式逻辑与电路开发，主持

横向项目，基于医学影像的机器人手术规划软件开发，主持

横向项目，光栅看谱镜人工智能检测系统研发，主持

横向项目，人工智能算法的开发与测试，主持

 

代表性论文

[1] Wang H J, Huang L, Ma X Y*, Zhu J B, Shang L W, Li Q F, Yin J H. Deep learning-enabled spectral retrieval for on-chip spatial heterodyne Fourier transform spectrometers with multi-mode multiplexing[J]. Infrared Physics & Technology, 2026, 153: 106278. DOI: 10.1016/j.infrared.2025.106278.

[2] Yang Y P, Gao F, Yang X P, Zhang R Z, Li Z P, Xia H, Li Q F, Ma X Y*. Gas Leakage Detection Using YOLO Accelerator Based on ZYNQ[J]. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2026, 45(2): 1021-1027. DOI: 10.1109/TCAD.2025.3592582.

[3] Li Q F, Yang X P, Gao F, Xia H, Peng Y X, Sun Y, Yang Y P, Ma X Y*. Label-free, real-time classification of leukemia cells using Snapshot-based hyperspectral imaging[J]. Infrared Physics & Technology, 2026, 152: 106245. DOI: 10.1016/j.infrared.2025.106245.

[4] Yang Y P, Gao F, Yang X P, Han Y G, Xia H, Peng Y X, Fu X R, Li Q F, Ma X Y*. Cellular Rhythm for Label-Free Tracking of Apoptotic Progression in Leukemia Cells[J]. Analytical Chemistry, 2026, 98(35): 25826-25835. DOI: 10.1021/acs.analchem.6c03087.

[5] Li Q F, Xia H, Sun Y, Li L, Peng Y X, Gao F, Sun J Z, Ma X Y*. Colony-to-cell Raman spectral features enhance interpretable single-cell detection of Bacillus[J]. Sensors and Actuators B: Chemical, 2026, 461: 139944. DOI: 10.1016/j.snb.2026.139944.

[6] Li Q F, Peng Y X, Xia H, Gao F, Fu X R, Sun Y, Yang Y P, Ma X Y*. Rapid and accurate single-cell detection of foodborne pathogens using Raman spectroscopy enhanced by Raman Mel spectrograms and generative adversarial networks[J]. LWT, 2026, 250: 119451. DOI: 10.1016/j.lwt.2026.119451.

[7] Sun J Z, Zhang H Y, Yang K E, Ma X Y*, Li Q F. Rapid and interpretable single-cell Raman identification of foodborne Salmonella serotypes using a physics-informed attention model[J]. Food Bioscience, 2026, 84: 109954. DOI: 10.1016/j.fbio.2026.109954.

[8] Sun J Z, Wang S, Xia H, Peng Y X, Gao F, Sun Y, Wang J Y, Ma X Y*, Li Q F. Rapid single-cell identification of foodborne pathogens with limited data: A peak-aware Raman attention deep learning model[J]. Current Research in Food Science, 2026, 12: 101386. DOI: 10.1016/j.crfs.2026.101386.

[9] Sun Y, Li Z P, Xia H, Yang K E, Gao F, Peng Y X, Ma X Y*, Li Q F. Stable and High-Throughput Single-Cell Sorting of Food Bacteria Using Spatiotemporal Video-Enhanced Raman Tweezers[J]. Foods, 2026, 15(12): 2208. DOI: 10.3390/foods15122208.

[10] Yang X P, Xia H, Gao F, Jia J J, Li Y S, Ma X Y, Li Q F, Yang Y P. An Equal Optical Path Difference Sampling Method for FT-Raman Spectrometers[C]//2025 IEEE 17th International Conference on Electronic Measurement & Instruments (ICEMI). IEEE, 2025: 1000-1005. DOI: 10.1109/ICEMI66537.2025.11306785.

[11] Qin X Y, Sun Y, Guo Y M, Li X P, Liu J, Zhang Z W, Ma X Y*, Li Q F, Shen Y T. Chirality-induced spin selectivity of graphene chiral superstructures and their true/false chirality of electron motion[J]. Nano Research, 2025, 18(10): 94907961. DOI: 10.26599/NR.2025.94907961.

[12] Ji C, Ba H R, Dai J R, Xie Y X, Zang T Y, Sun Y, Shi R, Zhao L J, Yang M, He X H, Ma X Y*, Zheng W J. Developing a quantitative adulteration discrimination model for forest-grown Panax notoginseng using near-infrared spectroscopy with a dual-branch network[J]. Food Research International, 2025, 205: 115879. DOI: 10.1016/j.foodres.2025.115879.

[13] Han Y G, Li Q F, Sun P P, Ma X Y, Yang Y P, Zhang N, Feng J W, Sa Y. Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry[J]. Scientific Reports, 2025, 15(1): 25820. DOI: 10.1038/s41598-025-09320-4.

[14] Zhang E B, Ding S S, Li X P, Ma X Y, Gao X Q, Liu L, Shen Y T, Cheng S Y, Mi W B, Zhou Y L, Feng G Y, Song Y R, Li X J, Xue Y J, Xin K Y, Zeng X, Jiang Q Y, Zhang R F, Liu X F, Wei Z M, Zeng Q D, Wang B, Li Q F, Liu J, Yan J, Lei S B, Yang Y L, Hu W P. Graphene rolls with tunable chirality[J]. Nature Materials, 2025, 24(3): 377-383. DOI: 10.1038/s41563-025-02127-8.

[15] Li Q F, Yang Y P, Tan M, Xia H, Peng Y X, Fu X R, Huang Y G, Yang X P, Ma X Y*. Rapid pesticide residues detection by portable filter-array hyperspectral imaging[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2025, 330: 125703. DOI: 10.1016/j.saa.2025.125703.

[16] Li Q F, Sun Y, Xia H, Li L, Gao F, Peng Y X, Li T, Ma X Y*. Robust Single-Cell Raman Identification Enabled by Target–Interference Library[J]. Analytical Chemistry, 2025, 97(47): 26079-26087. DOI: 10.1021/acs.analchem.5c04715.

[17] Wang K D, Ma X Y, Longchamps P L, Chou K C, Lu X N. Single-Cell Identification and Characterization of Viable but Nonculturable Campylobacter jejuni Using Raman Optical Tweezers and Machine Learning[J]. Analytical Chemistry, 2025, 97(4): 2028-2035. DOI: 10.1021/acs.analchem.4c03749.

[18] Li Q F, Xia H, Sun Y, Yang Y P, Peng Y X, Gao F, Fu X R, Ma X Y*. Time-Correlated Raman Spectroscopy (TCRS): Enhancing Single-Cell Bacterial Detection through Temporal Variation Analysis[J]. Analytical Chemistry, 2025, 97(34): 18638-18645. DOI: 10.1021/acs.analchem.5c02827.

[19] Li Q F, Yang Y P, Wu J N, Wei C S, Xia H, Han Y G, Huang Y G, Ma X Y*. Dual-branch transfer learning in Raman spectroscopy for bacterial quantitative analysis[J]. Vibrational Spectroscopy, 2024, 133: 103695. DOI: 10.1016/j.vibspec.2024.103695.

[20] Li Q F, Yang Y P, Tan M, Xia H, Peng Y X, Fu X R, Huang Y G, Ma X Y*. Rapid Detection of Single Bacteria Using Filter-Array-Based Hyperspectral Imaging Technology[J]. Analytical Chemistry, 2024, 96(43): 17244-17252. DOI: 10.1021/acs.analchem.4c03265.

[21] Ma X Y, Tan M, Zhang S L, Liu S Y, Sun J L, Han Y G, Li Q F, Yang Y P. A snapshot near-infrared hyperspectral demosaicing method with convolutional neural networks in low illumination environment[J]. Infrared Physics & Technology, 2023, 129: 104510. DOI: 10.1016/j.infrared.2022.104510.

[22] Du J B, Yao N, Ma X Y, Wang H J, Li Q F, Feng Z F. Infrared spectra of the SARS-CoV-2 spike receptor-binding domain: Molecular dynamics simulations[J]. Chemical Physics Letters, 2023, 810: 140176. DOI: 10.1016/j.cplett.2022.140176.

[23] Wang K D, Chen J, Martiniuk J, Ma X Y, Li Q F, Measday V, Lu X N. Species identification and strain discrimination of fermentation yeasts Saccharomyces cerevisiae and Saccharomyces uvarum using Raman spectroscopy and convolutional neural networks[J]. Applied and Environmental Microbiology, 2023, 89(12): e01673-23. DOI: 10.1128/aem.01673-23.

[24] 刘罡, 吕佳明, 牛文兴, 李奇峰, 张迎虎, 杨云鹏, 马翔云*. 高光谱成像的船舶燃油硫含量遥测技术[J]. 光谱学与光谱分析, 2023, 43(6): 1697-1702. DOI: 10.3964/j.issn.1000-0593(2023)06-1697-06.

[25] Ma X Y, Zhang S L, Sun J L, Han Y G, Du J B, Fu X R, Yang Y P, Sa Y, Li Q F, Yang C M. A TFA-CNN method for quantitative analysis in infrared spectroscopy[J]. Infrared Physics & Technology, 2022, 126: 104329. DOI: 10.1016/j.infrared.2022.104329.

[26] Ma X Y, Wang K D, Chou K C, Li Q F, Lu X N. Conditional Generative Adversarial Network for Spectral Recovery to Accelerate Single-Cell Raman Spectroscopic Analysis[J]. Analytical Chemistry, 2022, 94(2): 577-582. DOI: 10.1021/acs.analchem.1c04263.

[27] Du J B, Yang C M, Ma X Y, Li Q F. Insights into the conformation changes of SARS-CoV-2 spike receptor-binding domain on graphene[J]. Applied Surface Science, 2022, 578: 151934. DOI: 10.1016/j.apsusc.2021.151934.

[28] Wei C S, Li Q F, Zhang X D, Ma X Y*, Du J B. A Fast Snapshot Hyperspectral Image Reconstruction Method Based on Three-Dimensional Low Rank Constraint[J]. Canadian Journal of Remote Sensing, 2021, 47(4): 588-595. DOI: 10.1080/07038992.2021.1943340.

[29] Li Q F, Dai Y L, Sun J L, Han Y G, Fu X R, Yang Y P, Ma X Y*, Wang H J. A Low-rank strategy for improving the prediction accuracy of partial least square models[J]. Infrared Physics & Technology, 2021, 116: 103798. DOI: 10.1016/j.infrared.2021.103798.

[30] Ma X Y, Sun J L, Han Y G, Yang Y P, Li Q F, Wang H J. An oversampling software-triggering interferogram method for Fourier-transform infrared spectrometers[J]. Infrared Physics & Technology, 2021, 116: 103805. DOI: 10.1016/j.infrared.2021.103805.

[31] Li Q F, Zhang S L, Sun J L, Han Y G, Fu X R, Yang Y P, Ma X Y*, Wang H J. Demosaicking enhancement method for color image based on low-rank constraint[J]. Journal of Electronic Imaging, 2021, 30(5): 050501. DOI: 10.1117/1.JEI.30.5.050501.

[32] Wang H J, Bao Y L, Tang J L, Li Q F, Shi W, Ma X Y*. On-chip monolithic Fourier transform spectrometers assisted by cGAN spectral prediction[J]. Optics Letters, 2021, 46(17): 4288-4291. DOI: 10.1364/OL.438429.

[33] Li Q F, Ma X Y, Sun X Q, Wang H J, Yu H, Xu K X. A spectral recovery method for Raman spectroscopy utilizing prior datasets[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2020, 225: 117505. DOI: 10.1016/j.saa.2019.117505.

[34] Wang K D, Chen L, Ma X Y, Ma L N, Chou K C, Cao Y K, Khan I U H, Gölz G, Lu X N. Arcobacter Identification and Species Determination Using Raman Spectroscopy Combined with Neural Networks[J]. Applied and Environmental Microbiology, 2020, 86(20): e00924-20. DOI: 10.1128/AEM.00924-20.

[35] Du J B, Zhang Y R, Han L J, Ma X Y, Li C X, Li Q F. Insights into water permeability and Hg2+ removal using two-dimensional nanoporous boron nitride[J]. New Journal of Chemistry, 2020, 44(41): 18084-18091. DOI: 10.1039/d0nj03987j.

[36] Du J B, Feng Z F, Han L J, Ma X Y, Li Q F. Understanding the water permeability and Cu2+ removal capability of two-dimensional nanoporous boron nitride[J]. Computational Materials Science, 2020, 184: 109923. DOI: 10.1016/j.commatsci.2020.109923.

[37] Li Q F, Sun X Q, Ma X Y, Li B, Wang H J, Lv H Y, Wang Q, Xu K X, Chen D. A calibration transfer methodology for Standardization of Raman instruments with different spectral resolutions using Double Digital Projection Slit[J]. Chemometrics and Intelligent Laboratory Systems, 2019, 191: 143-147. DOI: 10.1016/j.chemolab.2019.07.004.

[38] Wang H J, Hu Y F, Ma X Y, Sun J L, Sun X Q, Chen D, Zheng X W, Li Q F. An active hyperspectral imaging system based on a multi-LED light source[J]. Review of Scientific Instruments, 2019, 90(2): 026107. DOI: 10.1063/1.5048795.

[39] Wang Y, Du J B, Ma X Y, Wang H J, Chou K C, Li Q F. Chirality discrimination at the carvone air/liquid interfaces detected by heterodyne-detected sum frequency generation[J]. Heliyon, 2019, 5(12): e03061. DOI: 10.1016/j.heliyon.2019.e03061.

[40] Li Q F, Wang Y, Ma X Y, Du W F, Wang H J, Zheng X W, Chen D. A low-rank estimation method for CTIS image reconstruction[J]. Measurement Science and Technology, 2018, 29(9): 095401. DOI: 10.1088/1361-6501/aad1e6.

[41] Wang Y, Ma X Y, Wang H J, Chen D, Chou K C, Li Q F. High-resolution broadband sum frequency generation vibrational spectroscopy using intrapulse interference[J]. Physical Chemistry Chemical Physics, 2018, 20(32): 20752-20755. DOI: 10.1039/c8cp02519c.

[42] Li Q F, Wang H J, Ma X Y, Wang Y, Zheng X W, Chen D. Integrated spectral and spatial information extraction in Raman spectroscopy[J]. Spectroscopy Letters, 2018, 51(9): 472-475. DOI: 10.1080/00387010.2018.1493695.

[43] Wang H J, Wang Y, Ma X Y, Zhao Y, Chen D, Chen W L, Xu K X, Li Q F. Note: A unibody NIR transmission probe for in situ liquid detection[J]. Review of Scientific Instruments, 2018, 89(3): 036104. DOI: 10.1063/1.5019188.

[44] Ma X Y, Sun X Q, Wang H J, Wang Y, Chen D, Li Q F. Raman Spectroscopy for Pharmaceutical Quantitative Analysis by Low-Rank Estimation[J]. Frontiers in Chemistry, 2018, 6: 400. DOI: 10.3389/fchem.2018.00400.

[45] Li Q F, Ma X Y, Wang H J, Wang Y, Zheng X W, Chen D. Speeding up Raman spectral imaging by the three-dimensional low rank estimation method[J]. Optics Express, 2018, 26(1): 525-530. DOI: 10.1364/OE.26.000525.

[46] Wang H J, Ma X Y, Wang Y, Chen D, Chen W L, Li Q F. Enhancing the signal-to-noise ratio of FTIR spectrometers by a digital J-Stop[J]. Optics Express, 2017, 25(16): 19077-19082. DOI: 10.1364/OE.25.019077.

[47] Ma X Y, Wang H J, Wang Y, Chen D, Chen W L, Li Q F. Improving the resolution and the throughput of spectrometers by a digital projection slit[J]. Optics Express, 2017, 25(19): 23045-23050. DOI: 10.1364/OE.25.023045.

[48] Wang H J, Wang J, Ma X Y, Chen W L, Chen D, Li Q F. Note: A NDIR instrument for multicomponent gas detection using the galvanometer modulation[J]. Review of Scientific Instruments, 2017, 88(11): 116103. DOI: 10.1063/1.5000085.