一、教师基本信息

姓名： 金璐红

学历/职称：博士 副教授

邮箱：luhongjin@hznu.edu.cn

指导专业：计算机科学与技术、电子信息

二、研究领域及方向

深度学习、图像处理、显微成像及图像定量分析、细胞生物学应用研究。

三、主讲课程

留学生研究生课程：Advanced Data Structure

四、教育及工作经历

2014年06月 于中国计量大学信息科学学院获生物医学工程专业学士学位

2020年09月 于浙江大学生物医学工程与仪器科学学院获生物医学工程专业博士学位

2018年11月——2019年10月 于美国北卡罗来纳大学教堂山分校药理系做访问学者

2020年09月——2023年10月 于浙江大生物医学与仪器科学学院进行博士后工作

2023年11月——至今 杭州师范大学信息科学与技术学院专任教师

五、学术简介

主要研究领域为深度学习、图像处理、显微成像以及生物医学应用研究。主持国家自然科学青年基金项目1项，中国博士后面上基金项目1项，浙江省自然科学基金探索项目1项。曾参与科技部973项目、国家重点研发计划与基金委重大仪器专项等多项国家和省部级纵向研究课题。共参与发表了28篇研究论文，申请并获批4项国家发明专利、1项实用新型专利以及3项软件著作权。

六、科研成果

【科研项目】

[1] 基于深度学习的快速结构光照明超分辨显微成像技术研究，国家自然科学基金委员会, 青年科学基金项目, 62105288, 2022-01-01至2024-12-31，主持

[2] 基于深度学习的智能超分辨显微成像系统研究，浙江省自然科学基金，探索项目, LQ22F050018, 2022-01-01至2024-12-31，主持

[3] 深度学习驱动的多目标快速结构光照明显微成像辅助系统的研究，中国博士后面上基金项目，2021M692831，2021-07-01至2023-06-30，主持

【发表论文】

【SCI论文】

[1].   Jin L, Liu J, Zhang H, Zhu Y, Yang H, Wang J, Zhang L, Kuang C, Ji b, Zhang J, Xu Y*. Deep learning permits imaging of multiple structures with the same fluorophores. Biophysical Journal. 2024, 123:1-10. (封面论文)

[2].   Yao Y, Lou X, Jin L, Sun W, Liu J, Chen Y, Chen S, Zhao T, Ke S, Zhang L, Xu Y*, He L*, Li H*. Optogenetic Strategies for Optimizing the Performance of Phospholipids Biosensors. Advanced Science. 2024, 11(36): 2403026.

[3].   Wang J, Ma T, Jin L, Zhu Y, Yu J, Chen F, Fu S, Xu Y*. Prior Visual-guided Self-supervised Learning Enables Color Vignetting Correction for High-throughput Microscopic Imaging. lEEE Journal of Biomedical and Health Informatics. 2024.3471907.

[4].   Ye Z, Huang Y, Zhang J, Chen Y, Ye H, Ji C, Jin L, Gan Y, Sun Y, Tao W, Han Y, Liu X, Chen Y*, Kuang C*, Liu W*. Universal and High-Fidelity Resolution Extending for Fluorescence Microscopy Using a Single-Training Physics-Informed Sparse Neural Network. Intelligent Computing. 2024, 3:0082.

[5].   Chen J#, Fang Q#, Huang L, Xin Ye, Jin L*, Zhang H, Luo Y, Zhu M, Zhang L, Ji B, Tian X*, Xu Y*. Deep-Learning Accelerated Super-Resolution Radial Fluctuations Enables Real-time Live Cell Imaging. Optics and Lasers in Engineering. 2024, 172, 107840.

[6].   Zhu M#, Zhang L#, Jin L, Chen Y, Yang H, Xu Y*. Deep learning-enabled fast DNA-PAINT imaging in cells. Biophysics Reports. 2023, 9(4):177-187.

[7].   Yang H, Yu J, Jin L, Zhao Y, Gao Q, Shi C, Ye L, Li D, Yu H and Xu Y*. A deep learning based method for automatic analysis of high-throughput droplet digital PCR images. Analyst. 2022, 148(2), 239:247. (封面论文)

[8].   Yang H, Zhu Y, Yu J, Jin L, Guo Z, Zheng C, Fu J, Xu Y*. Boosting Microscopic Object Detection via Feature Activation Map Guided Poisson Blending. Mathematical Biosciences and Engineering. 2023, 20(10): 18301-18317.

[9].   Xu Y, Jin L, Toomre D. Imaging Single-Vesicle Exocytosis with Total Internal Reflection Fluorescence Microscopy (TIRFM). Methods in Molecular Biology, 2022, 2473, 157-164.

[10]. Liu Z, Zhang H, Jin L, Chen J, Nedzved A, Ablameyko S, Ma Q, Yu J, Xu Y*. U-Net-based deep learning for tracking and quantitative analysis of intracellular vesicles in time-lapse microscopy images. Journal of Innovative Optical Health Sciences. 2022, 15(5), 2250031.

[11]. Zhu M#, Zhang L#, Jin L, Chen J, Zhang Y, Xu Y*. DNA-PAINT Imaging Accelerated by Machine Learning. Frontiers in Chemistry. 2022, 10, 864701.

[12]. Li X, Xie S, Liu W, Jin L, Xu Y, Zhang L, Hao X, Han Y, Kuang. Speckle-free laser projection structured illumination microscopy based on a digital micromirror device. Optics Express, 2021, 29(26), 43917-43928.

[13]. Liu Z#, Jin L#, Chen J, Fang Q, Ablameyko S, Yin Z, Xu Y*. A survey on applications of deep learning in microscopy image analysis. Computers in Biology and Medicine. 2021, 134, 104523.

[14]. Jin L#, Liu B#,*, Zhao F, Hahn S, Dong B, Song R, Elston T, Xu Y*, Hahn K*. Deep learning enables structured illumination microscopy with low light levels and enhanced speed. Nature Communications. 2020, 11: 1934.

[15]. Jin L, Zhao F, Lin W, Zhou X, Kuang C, Nedzved A, Ablameyko S, Liu X, Xu Y*. Development of Fan-shaped Tracker (FsT) for Single Particle Tracking. Microscopy Research and Technique. 2020.

[16]. Jin L, Zhou X, Xiu P, Luo W, Huang Y, Yu F, Kuang C, Sun Y, Liu X, Xu Y*. Imaging and reconstruction of cell cortex structures near the cell surface. Optics Communications. 2017, 402(1):699-705.

[17]. Jin L, Wu J, Xiu P, Fan J, Hu M, Kuang C, Xu Y*, Zheng X, Liu X. High-resolution 3D reconstruction of microtubule structures by quantitative multi-angle total internal reflection fluorescence microscopy. Optics Communications. 2017, 395(15): 16-23.

[18]. 林婉妮，金璐红，许迎科*. 超分辨显微成像中荧光单分子定位算法中的研究进展. 中国生物医学工程学报. 2020，39(2):93-101.

[19]. Huang Y, Zhu D, Jin L, Kuang C, Xu Y*, Liu X. Laser scanning saturated structured illumination microscopy based on phase modulation. Optics Communications. 2017, 391(1):261-266.

[20]. Zhou X, Wang J, Chen J, Qi Y, Nan D, Jin L, Qian X, Wang X, Chen Q, Liu X, Xu Y*. Optogenetic control of epithelial-mesenchymal transition in cancer cells. Scientific Reports. 2018, 8(1):14098.

[21]. Zheng C, Zhao G, Liu W, Chen Y, Zhang Z, Jin L, Xu Y, Kuang C*, Liu X. Three-dimensional super-resolved live cell imaging through polarized multi-angle TIRF. Optics Letters. 2018, 43(7):1423-1426.

[22]. Chen Y, Liu W, Zhang Z, Zheng C, Huang Y, Cao R, Zhu D, Xu L, Zhang M, Zhang Y-H, Fan J, Jin L, Xu Y, Kuang C*, Liu X*. Multi-color live-cell super-resolution volume imaging with multi-angle interference microscopy. Nature Communications. 2018, 9(1):4818.

【EI论文】

[1].   Wang J, Zhu Y, Zhang H, Yang H, Jin L, Xu Y*. Enhancement of the resolution for low-quality fluorescence microscopy image by novel computational method. Proceedings of SPIE - The International Society for Optical Engineering. 2024, 13157.

[2].   Liu Z, Jin J, Nedzved A, Ablameyko S, Xu Y*. Deep Learning for Tracking of Intracellular Vesicles in Time-lapse Microscopy Images. Proc. SPIE 12069, AOPC 2021.

[3].   Jin L, Zhao F, Lin W, Zhou X, Kuang C, Xu L, Ablameyko S, Xu Y*. Fan-shaped tracker (FsT) for particle trajectory reconstruction. Optics in Health Care and Biomedical Optics IX 2019. 2019, 111900Y.

[4].   Nedzved O, Jin L, Nedzved A*, Lin W, Ablameyko S, Xu Y*. Automatic Analysis of Moving Particles by Total Internal Reflection Fluorescence Microscopy. Communications in Computer and Information Science, 14th International conference on Pattern Recognition and Information Processing, PRIP 2019. 2019, 1055:228-239.

[5].   Jin L, Xiu P, Zhou X, Fan J, Kuang C, Liu X, Xu Y*. 3-D reconstruction of cortical microtubules using multi-angle total internal reflection fluorescence microscopy. International Conference on Innovative Optical Health Science 2017. 2017, 1024506.

[6].   Wu J, Xiu P, Jin L, Nan D, Kuang C, Zheng X, Xu Y*, Liu X. A New Method for Axial Decay Function Calibration of Evanescent Field in Multi-Angle Total Internal Reflection Fluorescence Microscopy. 5th International Conference on Advances in Optoelectronics and Micro/Nano-Optics, AOM 2015. 2016, 680(1): 012025.

【专利】

[1] 许迎科，张恒，金璐红.一种荧光显微图像超分辨重建方法和装置以及计算设备, ZL202210558421.0,2023年9月8日，发明专利

[2] 许迎科，杨海旭，金璐红.一种微液滴数字PCR液滴检测方法及系统, ZL202210442041.0,2022年8月5日，发明专利

[3] 许迎科，金璐红，刘旭.基于深度学习的荧光显微图像超分辨重建技术, ZL202010166665.5,2022年4月29日，发明专利

[4] 许迎科，金璐红，刘旭.基于显微图像的亚细胞结构运动轨迹确定方法， ZL201811268090.7，2020年9月1日，发明专利

[5] 许迎科，金璐红，樊剑南，南迪，孙永红，匡翠方，刘旭. 新型多角度环状光学照明显微成像系统，ZL201720543615.8，2017年12月15日，实用新型专利

[6] 许迎科，金璐红，刘旭. 全内反射荧光显微图像的三维重建及图像定量分析系统V1.0， 2017SR399591, 2017年7月26日，软件著作权

[7] 许迎科，刘智超，金璐红. 荧光显微图像中亚细胞结构运动模拟系统V1.0, 2021SR1011058,2021年3月10日，软件著作权

[8] 许迎科，刘智超，金璐红. 荧光显微图像中亚细胞结构识别与追踪系统V1.0, 2021SR0980582,2021年3月15日，软件著作权