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digital pathology with fourier ptychography：用傅里叶ptychography数字病理学
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digital pathology with fourier ptychography：用傅里
官方公共微信清华大学自动化系
索津莉 副教授控制理论与技术研究所通信地址：清华大学自动化系 邮政编码：100084电话：010-传真：010-Email：
2004年9月-2010年6月 中国科学院研究生院，信息科学与工程学院，获工学博士学位2000年9月-2004年06月 山东大学，计算机科学与技术学院，获工学学士学位
2010年7月-2012年6月 清华大学自动化系，博士后2012年6月-2016年12月 清华大学自动化系， 讲师2016年12月-至今 清华大学自动化系，副教授&
2012- Frontier of Computer Science (SCI), 编委2013- IEEE International Workshop on Computational Cameras and Displays, 技术委员会委员和审稿人2014 and 2016 Asian Conference on Computer Vision(ACCV), 技术委员会委员和审稿人2014 Light field for computer vision workshop, 技术委员会委员和审稿人&
1.计算摄像学2.计算机视觉与模式识别3.统计学习
自然科学基金国家重大科研仪器设备研制专项，&高速光谱视频计算摄像仪器&, 1.12自然科学基金重点项目，&大规模真三维视频获取与集成成像显示关键理论与技术&, 1.12清华大学自主科研计划项目，&动态超光谱计算成像理论与关键技术研究&， 7.12自然科学基金国家重大科研仪器设备研制专项，&多维多尺度高分辨率计算摄像仪器&多光谱重光照子课题&，8.12国家自然科学基金面上项目,& &计算摄像学中大深度范围场景抖动模糊研究&，5.12横向项目，&基于FPGA的2D转3D算法的实现和验证&，3.12
奖励与荣誉
2016年，新一代立体视觉关键技术及产业化，国家科技进步二等奖，排名第32015年，立体视觉感知、建模关键技术及应用，中国电子学会科学技术一等奖，排名第22014年，大规模智能视频监控新技术及应用，北京市科学技术二等奖，排名第3
期刊论文（部分）1.Y. Wang, Y. Liu, J. Suo, G. Situ, C. Qiao, and Q Dai, High Speed Computational Ghost Imaging via Spatial Sweeping, Scientific Reports, vol. 7, no. 4.2.F. Bao, Y. Deng, Y. Zhao, J. Suo, Q. Dai, Bosco: Boosting Corrections for Genome-Wide Association Studies with Imbalanced Samples, IEEE Transactions on NanoBioscience, vol. 16, no. 1, pp. 69-77, 2017.3.Z. Li, J. Suo, X. Hu, C. Deng, J. Fan, and Q. Dai, Efficient single-pixel multispectral imaging via non-mechanical spatio-spectral modulation, Scientific Reports, vol. 7, no. 4.4.J. Suo, D. An, X. Ji, H. Wang, and Q. Dai, Fast and High Quality Highlight Removal from A Single Image, IEEE Trans. Image Processing, vol. 25, no. 11, pp. , 2016.5.T. Yue, J. Suo, X. Cao, and Q. Dai, Efficient Method for High Quality Removal of Non-uniform Blur in Wavelet Domain, to appear in IEEE Trans. Circuits and Systems for Video Technology 2016.6.L. Bian, G. Zheng, K. Guo, J. Suo, C. Yang, F. Chen, Q. Dai, Motion-corrected Fourier ptychography, Biomedical Optics Express, vol. 7, no. 11, pp. , 2016.7.R. Wu, J. Suo, F. Dai, Y. Zhang, and Q. Dai, Scattering Robust 3D Reconstruction via Polarized Transient Imaging, Optics Letters, vol. 41, no. 17, pp. , 2016.8.L. Bian, J. Suo, X. Hu, F. Chen and Q. Dai, Efficient single pixel imaging in Fourier space, Journal of Optics, vol. 18, no. 8, pp. 16.9.L. Bian, J. Suo, J. Chung, X. Ou, C. Yang, F. Chen & Q. Dai, Fourier Ptychographic Reconstruction Using Poisson Maximum Likelihood and Truncated Wirtinger Gradient, Scientific Reports, Vol. 6, No. 2.10.J. Wu, B. Xiong, X. Lin, J. He, J. Suo, and Q. Dai, Snapshot Hyperspectral Volumetric Microscopy, Scientific Reports, Vol. 6, No. 2.11.L. Bian, J. Suo, G. Situ, Z. Li, J. Fan, F. Chen, and Q. Dai, Multispectral Imaging Using A Single Bucket Detector, Vol. 6, No. 24752, Scientific Reports, 2016.12.Z. Li, J. Suo, X. Hu, and Q. Dai, Content-adaptive ghost imaging of dynamic scenes, Optics Express, Vol. 24, No. 7, pp. , 2016.13.Y. Wang, J. Suo, J. Fan, and Q. Dai, Hyperspectral Computational Ghost Imaging via Temporal Multiplexing, IEEE Photonics Technology Letters (PTL), Vol. 28, No. 3, pp. 288-291, 2016.14.D. An, J. Suo, H. Wang, and Q. Dai, Illumination estimation From Specular Highlight in A Multi-Spectral Image, Optics Express, Vol. 23, No. 13, pp. , 2015.15.X. Hu, J. Suo, T. Yue, L. Bian and Q. Dai, Patch-Primitive Driven Compressive Ghost Imaging, Optics Express, Vol. 23, No. 9, pp. , 2015.16.L. Bian, J. Suo, G. Zheng, K. Guo, F. Chen and Q. Dai, Fourier Ptychographic Reconstruction Using Wirtinger Flow Optimization, Optics Express, Vol. 23, No. 4, pp. , 2015.17.L. Bian, J. Suo, F. Chen and Q. Dai, Multi-Frame Denoising Of High Speed Optical Coherence Tomography Data Using Inter-Frame And Intra-Frame Priors, Journal of Biomedical Optics, Vol. 20, No. 3, Article 15.18.X. Lin, J. Suo, Q. Dai, Extracting Depth and Radiance from a Defocused Video Pair, IEEE Trans. Circuits and Systems for Video Technology, Vol. 25, No. 4, pp. 557-569, 2015.19.T. Yue, J. Suo, Y. Xiao, L. Zhang and Q. Dai, Image Quality Enhancement Using Original Lens via Optical Computing, Optics Express, Vol. 22, No. 24, pp. , 2014.20.L. Bian, J Suo, G Situ, G Zheng, F Chen and Q Dai, Content Adaptive Sparse Illumination For Fourier Ptychography, Optics Letters, Vol. 39, No. 23, pp. , 2014.21.T. Yue, J. Suo, and Q. Dai, High-Dimensional Camera Shake Removal with Given Depth Map, IEEE Trans. Image Processing, Vol. 23, No. 6, pp. , 2014.22.Y. Peng, J. Suo, W. Xu and Q. Dai, Reweighted Low-Rank Matrix Recovery and its Application in Image Restoration, IEEE Trans. Cybernetics, Vol. 44, No. 12, pp. , 2014.23.J. Suo, Y. Deng, L. Bian, Q. Dai, Joint Non-Gaussian Denoising and Superresolving of Raw High Frame Rate Videos, IEEE Trans. Image Processing, Vol. 23, No. 3, pp. . 2014.24.J. Suo, L. Bian, F. Chen and Q. Dai, Bispectral Coding: Compressive and High Quality Acquisition of Fluorescence and Reflectance, Optics Express, Vol. 22, No. 2, pp. , 2014.25.J. Suo, X. Chen, S. Shan, W. Gao and Q. Dai, A Concatenational Graph Evolution Aging Model, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 34, No. 11, pp. , Nov. 2012.会议论文（部分）1.T. Yue, J. Suo, J. Wang, X. Cao, and Q. Dai, Blind Optical Aberration Correction by Exploring Geometric and Visual Priors, International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, Jun. 8-Jun. 10, 2015.2.C. Ma, X. Lin, J. Suo, G. Wetzstein and Q. Dai, Transparent Object Reconstruction via Coded Transport of Intensity, International Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, USA, Jun. 24-Jun. 27, 2014. (Oral)3.C. Ma, J. Suo, Q. Dai, R. Raskar, and G. Wetzstein, High-rank Coded Aperture Projection for Extended Depth of Field, International Conference on Computational Photography, Cambridge Massachusetts, USA, Apr. 19-Apr. 21, 2013.4.X. Lin, J. Suo, Q. Dai, R. Raskar, and G. Wetzstein, &Coded Stack Photography&, International Conference on Computational Photography, Cambridge Massachusetts, USA, Apr. 19-Apr. 21, 2013.5.J. Suo, X. Chen, S. Shan and W. Gao, &Learning Long Term Face Aging Patterns from Partially Dense Aging Databases&, Int’l Conf. Computer Vision, Kyoto, Japan, Sept. 27-Oct. 3, 2009.6.J. Suo, F. Min, S. C. Zhu, S. Shan and X. Chen, &A Multi-Resolution Dynamic Model for Face Aging Simulation&, IEEE Int’l Conf. Computer Vision and Pattern Recognition, Minneapolis, Minnesota, USA, Jun. 18-23, 2007.}