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    黄振立

黄振立(博士),海南大学生物医学工程学院教授,博士生导师,华中科技大学兼职教授。1998年本科毕业于南开大学化学系,2003年博士毕业于中山大学物理系。2003年7月至2020年7月,在华中科技大学生物医学光子学教育部重点实验室和武汉光电国家研究中心工作,历任讲师(2003.7)、副教授(2004.11)、教授(2009.11)。2005年9月至2007年9月曾在美国中佛罗里达大学光学院(CREOL)和化学系Kevin Belfield课题组做博士后研究。2015年11月至2016年10月曾在美国科罗拉多大学博尔德分校电气工程系Rafael Piestun课题组做访问教授。2020年7月起,全职加盟海南大学生物医学工程学院。

  研究方向  

2003年以来,致力于超高分辨显微光学成像方法、技术与应用研究,目前的主要研究方向有:1)单分子定位成像新方法新技术; 2)异构计算平台和高速图像处理算法;3)精准数字病理与虚拟染色技术;4)血液生物标志物检测与超分辨可视化;5)穿戴式生理参数监测与个体化音乐治疗。

  学术论文  

在SCI期刊发表第一或通讯作者论文超过60篇,包括光学领域权威期刊Optics Letters 4篇, Optics Express 13篇, Biomedical Optics Express 4篇。

近十年的代表性论文如下(§并列第一作者;*通讯作者):

[1] Z. W. Zhou, W. B. Kuang, Z. X. Wang*, Zhen-Li Huang*, ResNet-based image inpainting method for enhancing the imaging speed of single molecule localization microscopy, Optics Express, 2022, 30, 31766-311784.

[2] M. T. Li§, M. T. Shang§, L. C. Li, Y. N. Wang, Q. H. Song, Z. W. Zhou, W. B. Kuang, Y. J. Zhang*, Z. L. Huang*, Real-time image resolution measurement for single molecule localization microscopy, Optics Express, 2022, 30, 28079-28090.

[3] M. T. Li, Q. H. Song, Y. H. Xiao, J. N. Wu, W. B. Kuang, Y. J. Zhang*, Z. L. Huang*, LuckyProfiler: an ImageJ plug-in capable of quantifying FWHM resolution easily and effectively for super-resolution images, Biomedical Optics Express, 2022, 13, 4310-4325.

[4] D. Gui*, Y. J. Chen, W. B. Kuang, M. T. Shang, Y. J. Zhang, Z. L. Huang*, PCIe-based FPGA-GPU heterogeneous computation for real-time multi-emitter fitting in super-resolution localization microscopy, Biomedical Optics Express, 2022, 13, 3401-3415.

[5] Y. J. Wang, W. B. Kuang, Z. L. Huang*, Single-shot multi-color fluorescence microscopy via colorimetry camera, Optics Letters, 2022, 47, 2514-2517.

[6] D. Gui, Y. J. Chen, W. B. Kuang, M. T. Shang, Z. X. Wang*, Z. L. Huang*, Accelerating multi-emitter localization in super-resolution localization microscopy with FPGA-GPU cooperative computation, Optics Express, 2021, 29, 35247-35260.

[7] Y. J. Wang, W. B. Kuang, M. T. Shang, Z. L. Huang*, Two-color super-resolution localization microscopy via joint encoding of emitter location and color, Optics Express, 2021, 29, 34797-34809.

[8] Y. Du, C. Z. Wang, C. Zhang, L. Y. Guo, Y. Z. Chen, M. Yan, Q. H. Feng, M. T. Shang, W. B. Kuang, Z. X. Wang*, Z. L. Huang*,  A computational framework for generating large panoramic super-resolution images from localization microscopy, Biomedical Optics Express, 2021, 12, 4759-4778.

[9] Z. N. Zhang, Y. J. Wang, R. Piestun, Z. L. Huang*, Characterizing and correcting camera noise in back-illuminated sCMOS cameras, Optics Express, 2021, 29, 6668-6690.

[10] L.C. Li, B. Xin, W.B. Kuang, Z.W. Zhou, Z. L. Huang*, Divide and Conquer: Real-time maximum likelihood fitting of multiple emitters for super-resolution localization microscopy, Optics Express, 2019, 27, 21029-21049.

[11] Y. J. Wang, B. Xin, and Z. L. Huang*, Structure-Resolving Index: an efficient criterion for ending image acquisition in super-resolution localization microscopy, Optics Letters, 2019, 44, 2633-2636.

[12] S. S. Chen, J. Wang, B. Xin, Y. B. Yang, Y. R. Ma, Y. Zhou, L. J. Yuan, Z. L. Huang*, and Q. Yuan*, Direct Observation of Nanoparticles within Cells at Subcellular Levels by Super-Resolution Fluorescence Imaging, Analytical Chemistry, 2019, 91, 5747−5752.

[13] Z. Zhao, B. Xin, L. Li, Z. L. Huang*. High-power homogeneous illumination for super-resolution localization microscopy with large field-of-view. Optics Express, 2017, 25, 13382-13395.

[14] Y. Wang§, L. Zhao§, Z. Hu§, Y. Wang, Z. Zhao, L. Li, Z. L. Huang*. Quantitative performance evaluation of a back-illuminated sCMOS camera with 95% QE for super-resolution localization microscopy. Cytometry Part A, 2017, 91A, 1175-1183.

[15] Y. N. Wang§, J. Schnitzbauer§, Z. Hu§, X. M. Li, Y. F. Cheng, Z. L. Huang*, B. Huang*. Localization events-based sample drift correction for localization microscopy with redundant cross-correlation algorithm. Optics Express, 2014, 22, 15982-15991.

[16] H. Q. Ma, H. Kawai, E. Toda, S. Q. Zeng, Z. L. Huang*. Localization-based super-resolution microscopy with an sCMOS camera part III: camera embedded data processing significantly reduces the challenges of massive data handling. Optics Letters, 2013, 38, 1769-1771.

[17] Y. Wang, T. W. Quan, S. Q. Zeng, Z. L. Huang*. PALMER: a method capable of parallel localization of multiple emitters for high-density localization microscopy. Optics Express, 2012, 20, 16039-16049.

[18] H. Q. Ma, F. Long, S. Q. Zeng, Z. L. Huang*. Fast and precise algorithm based on maximum radial symmetry for single molecule localization. Optics Letters, 2012, 37, 2481-2483.

[19] F. Long, S. Q. Zeng, Z. L. Huang*. Localization-based super-resolution microscopy with an sCMOS camera Part II: Experimental methodology for comparing sCMOS with EMCCD cameras. Optics Express, 2012, 20, 17741-17759.

[20] T. W. Quan, H. Y. Zhu, X. M. Liu, Y. F. Liu, J. P. Ding, S. Q. Zeng, Z. L. Huang*. High-density localization of active molecules using Structured Sparse Model and Bayesian Information Criterion. Optics Express, 2011, 19, 16963-16974.

[21] Z. L. Huang*§, H. Y. Zhu§, F. Long§, H. Q. Ma, L. S. Qin, Y. F. Liu, J. P. Ding, Z. H. Zhang, Q. M. Luo, S. Q. Zeng*. Localization-based super-resolution microscopy with an sCMOS camera. Optics Express, 2011, 19, 19156-19168.

[22] Z. G. Pei, L. S. Qin, Z. H. Zhang, S. Q. Zeng, Z. L. Huang*, Fiber-optic system for monitoring fast photoactivation dynamics of optical highlighter fluorescent proteins, Biomedical Optics Express, 2011, 2, 2117-2125.

[23] T. W. Quan§, P. C. Li§, F. Long, S. Q. Zeng, Q. M. Luo, P. N. Hedde, G. U. Nienhaus, Z. L. Huang*. Ultra-fast, high-precision image analysis for localization-based super resolution microscopy. Optics Express, 2010, 18, 11867-11876.

[24] T. W. Quan, S. Q. Zeng, Z. L. Huang*. Localization capability and limitation of electron-multiplying charge-coupled, scientific complementary metal-oxide semiconductor, and charge-coupled devices for superresolution imaging. Journal of Biomedical Optics, 2010, 15, 066005. Errata: 2012, 17, 049801.

[25] J. Liu, Z. G. Pei, L. Wang, Z. H. Zhang, S. Q. Zeng, Z. L. Huang*. A straightforward and quantitative approach for characterizing the photoactivation performance of optical highlighter fluorescent proteins. Applied Physics Letters, 2010, 97, 203701.

  专著与综述  

[1] Y. L. Yu§, J. N. Yu§, Z. L. Huang*, F. L. Zhou*, Application of super-resolution fluorescence microscopy in hematologic malignancies, Journal of Innovative Optical Health Sciences, 2022, 15, 2230005.

[2] Z. X. Tian§, Y. C. Wei§, Y. L. Yu, F. L. Zhou, Z. L. Huang*, Blood Cell Analysis: From Traditional Methods to Super-Resolution Microscopy, Photonics, 2022, 9, 261.

[3] M. T. Li, Z. L. Huang*, Rethinking resolution estimation in fluorescence microscopy: from theoretical resolution criteria to super-resolution microscopy, Science China Life Sciences, 2020, 63, 1776–1785.

[4] D. Gui, M. T. Shang, Z. L. Huang*, Super-resolution localization microscopy with sCMOS Camera, Chinese Journal of Lasers, 2018, 45, 0201016. (8 pages, in Chinese)

[5] L. C. Li, M. T. Li, Z. N. Zhang, Z. L. Huang*, Assessing low-light cameras with photon transfer curve method, Journal of Innovative Optical Health Sciences, 2016, 9, 1630008 (17 pages).

[6] Z. L. Huang*, M. Q. Zhu*, Introduction to the special issue on super-resolution optical microscopy, Journal of Innovative Optical Health Sciences, 2016, 9, 1602001. (Editorial)

[7] Z. L. Huang, Y.N. Wang, F. Long, Z. Hu, Z.Y. Zhao, Chapter 5: Super-resolution Localization Microscopy. In “Advances in Molecular Biophotoinics”. Shanghai Jiao Tong University Press and Walter de Gruyter GmbH, Berlin/Boston, 2017.

  主要科研项目  

[1] 海南省科技人才创新项目(2024年度,C档),循环肿瘤细胞生物标志物超分辨定量分析仪,100万元,2024.01 - 2026.12,主持在研

[2] 国家自然科学基金地区项目,红细胞表面AD生物标志物的超分辨成像及其在AD早期诊断中的应用,82260368,2023/01 - 2026/12,33万元,主持,在研
[3] 国家重点研发计划项目,活细胞动态纳米超分辨率成像技术研发,2022YFC3400600,2022/11 - 2027/10,总经费2465万元(本人242万元),参与,在研

[4] 海南大学科研启动经费,血液肿瘤细胞超分辨荧光成像,2020/07 – 2025/07,300万元,主持,在研
[5] 国家自然科学基金仪器项目,基于荧光分子纳米分辨定位的超分辨定位成像仪器,81427801, 2015/01 - 2019/12,715万元(本人365万元),主持,已结题(评为优秀)
[6] 国家重大科学研究计划(973)项目,纳米分辨快速光学成像机理与技术的基础研究,2015CB352000,2015/01 - 2019/12,3668万元(本人97万元),参与,已结题
[7] 国家自然科学基金重大研究计划培育项目,适合于跨脑区研究神经环路的超微结构特征的大面积超分辨定位成像技术,91332103, 2014/01 - 2016/12,70万元,主持,已结题
[8] 教育部“新世纪优秀人才支持计划”,NCET-10-0407,2011/01-2013/12,50万元,已结题
[9] 国家自然科学基金面上项目,新型有机双光子FRET探针的构建及其在细胞凋亡研究中的应用,30970691, 2010/01 - 2012/12,70万元,主持,已结题
[10] 国家自然科学基金青年项目,新型分子标记技术及其在神经活动多模式光学显微成像监测中的应用,30400117, 2005/01-2007/12,20万元,主持,已结题

  荣誉称号  

教育部“新世纪优秀人才支持计划”(2010年)
华中科技大学华中学者特聘教授:晨星岗(2012年)、特聘岗(2016年)
海南省领军人才入选者(2020年)

海南省南海育才项目第三批(南海创新人才,2023年)

  学术兼职  
程序委员会成员(Program Committee Member):西部光子学会议 - 单分子光谱与超分辨成像分会场(2014年起,美国旧金山);亚洲光子学会议 - 先进光学成像分会场(2018年起,中国)。
学术期刊审稿人:Nature Communications, Optica, ACS Nano, Science China Life Sciences, Optics Letters, Optics Express, Biomedical Optics Express, ChemPhysChem, Scientific Reports, Analyst, Applied Optics, Journal of the Optical Society of America B, Physical Chemistry Chemical Physics等十多种期刊。

  招生需求  
每年招收生物医学工程、光学工程、物理学、计算机、数学、电子科学与技术、生物学、医学等相关专业的硕士生5-8人以及博士生1-2人,常年招收博士后。
联系方式:Huang2020 (at) hainanu.edu.cn