2026年9月9日（周三）上午9:30，深圳河套学院荣幸地邀请到哈尔滨工业大学（深圳）计算机学院的张永兵教授，在B301教室带来主题为“跨尺度多模态显微成像与计算”的学术报告分享。诚挚欢迎学院师生及对该领域感兴趣的产学研界同仁参与讲座。

Title

跨尺度多模态显微成像与计算

Cross-Scale Multimodal Microscopic Imaging and Computation

About the Speaker

张永兵 教授
Prof. Yongbing Zhang

张永兵，哈尔滨工业大学（深圳）计算机学院教授、博士生导师。长期从事计算成像、视觉信息处理研究，通过深度学习、信号处理、傅立叶光学等方向的深度交叉，探索新型的图像获取与智能处理方法和设备。在Nature子刊，IEEE Trans、NeurIPS、CVPR、ICCV等顶级期刊与会议发表论文100余篇，获国际会议论文奖3项。承担了国家自然科学基金（重点、青B、面上）项目、广东省科技计划项目、深圳市基础研究重点项目等10余项，获50余项发明专利授权。曾获国家科技进步二等奖、中国图像图形学会技术发明一等奖、广东省科技创新领军人才等多项科技奖励。

Yongbing Zhang is a Professor and Doctoral Supervisor at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). He has long conducted research in computational imaging and visual information processing. Through in-depth interdisciplinary integration of deep learning, signal processing, Fourier optics, and related fields, he explores novel methods and devices for image acquisition and intelligent processing. He has published more than 100 papers in top journals and conferences, including journals in the Nature portfolio, IEEE Trans, NeurIPS, CVPR, and ICCV, and has received three paper awards at international conferences. He has undertaken more than 10 research projects, including projects under the National Natural Science Foundation of China (Key Program, Young Scientists Fund-Type B, and General Program), the Guangdong Provincial Science and Technology Program, and the Key Program of Shenzhen Fundamental Research. He has been granted more than 50 invention patents. He has received multiple science and technology honors, including the Second Prize of the State Scientific and Technological Progress Award, the First Prize of the Technical Invention Award of the China Society of Image and Graphics, and the title of Leading Talent in Scientific and Technological Innovation of Guangdong Province.

Abstract

高分辨显微成像与计算是精准医学、生命科学等领域的关键技术支撑。在精准医学领域，为深入解析肿瘤发生发展机制，人们需对大尺寸病理样本进行高分辨成像与分析。然而，现有成像方法的速度与质量之间的权衡问题十分突出，大视场高分辨图像导致的海量数据和有限标注也为高效智能分析带来显著挑战。在生命科学领域，DNA转录与核酶催化等动态过程大多发生在纳米、毫秒的时空尺度，信息感知与分析需要在极端时空约束下实现分子行为的连续观测与分析。分子运动的瞬态性和高随机性为分子运动轨迹的获取与理解带来了基础性挑战。如何从理论上突破多方面局限，实现跨尺度多模态显微成像，进而实时智能地进行精准计算与分析，成为亟待解决的关键难题。本次报告首先介绍课题组在高维病理成像、病理图像分析、病理多模态分析方面的工作，接着分享课题组面向微观动态过程感知开展的单分子示踪成像与分析工作，最后对高维多模态显微成像与计算的发展给出了展望。

High-resolution microscopic imaging and computation provide key technical support for precision medicine, life sciences, and other fields. In precision medicine, high-resolution imaging and analysis of large-sized pathological specimens are required to further investigate the mechanisms of tumor occurrence and progression. However, the trade-off between the speed and quality is particularly prominent in existing imaging methods, and the large amount of data generated by large field-of-view, high-resolution images and limited annotations also pose significant challenges to efficient intelligent analysis. In the life sciences, dynamic processes such as DNA transcription and ribozyme catalysis mostly occur at the nanoscale and millisecond time scales, and information perception requires continuous observation and analysis of molecular behavior under extreme spatiotemporal constraints. In addition, the transient and highly stochastic nature of molecular motion poses fundamental challenges to the acquisition and understanding of molecular trajectories. How to theoretically overcome various limitations, achieve cross-scale multimodal microscopic imaging, and further realize real-time, intelligent, and precise computation and analysis has become a key challenge that urgently needs to be addressed. This presentation will first introduce our recent work in high-dimensional pathological imaging, pathological image analysis, and multimodal pathology analysis. Then, we will share our work on single-molecule tracking imaging and analysis for sensing micro dynamic processes. Finally, we will provide an outlook on the development of high-dimensional multimodal microscopic imaging and computation.

Host

张治国 教授

Prof. Zhiguo Zhang

Date & Time

2026年9月9日（星期三）

上午9:30-11:30

September 9, 2026, Wednesday,

9:30am-11:30am

Venue

深圳河套学院B301教室

（深圳市福田区福保街道红棉路6号，地图导航“深圳河套学院-南门”）

Room B301, Shenzhen Loop Area Institute

(6 Hongmian Rd, Fubao Sub-Street, Futian District, Shenzhen, navigate to "Shenzhen Loop Area Institute (South Gate)" on the map.)

Online link

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腾讯会议号：948-1135-4043

Tencent Meeting：948-1135-4043