个人简介

王浩，博士，副研究员。本科毕业于山东大学，博士毕业于中国科学技术大学，期间开发了跨尺度超高速三维显微成像技术VISoR，可用于鼠脑、猴脑、人脑全脑显微成像。2019年加入类脑智能技术与应用国家工程实验室，负责介观脑图谱成像实验室。长期从事神经科学相关的生物医学光学显微成像技术、分子荧光标记技术、以及大规模生物医学图像数据三维重建及智能化处理技术的开发与应用。相关研究工作发表于National Science Review (2019, 2024), Neuroscience Bulletin (2024), Journal of Neuroscience Methods (2023), Frontiers in Neuroscience (2023); 合作工作发表于Nature Biotechnology, Nature Neuroscience, Cancer Cell, Cell Reports, Communications Biology, Molecular Brain 等杂志。

研究方向

•  方向一：高速高分辨三维显微成像及图像智能处理技术

 开展高通量三维荧光显微成像技术的发展与应用，涉及光学、精密仪器、控制工程、电子信息等多学科交叉研究，发展前沿生物医学光学显微成像技术；面向TB~PB 级三维图像数据，发展基于深度学习等技术的图像数据处理、重建、分析和可视化技术方法。

•  方向二：脑结构与功能解析

 面向全脑神经网络的结构与功能解析，绘制全脑活动图谱、神经连接图谱和细胞类型图谱，解析神经系统从信息感知、信息整合、认知到行为输出不同层面的生理机制。

•  方向三：三维分子病理成像与智能分析

 面向临床病理显微成像及分析诊断需求，发展临床组织样本的样本处理、分子标记、以及三维显微成像数据处理与分析技术，与临床医生合作开展脑肿瘤等疾病的三维分子病理研究。

联系方式

实验室：类脑智能技术与应用国家工程实验室

办公地点：科大先研院嵌入式研发楼2-225

电子邮箱：haowang@ustc.edu.cn

个人主页：https://faculty.ustc.edu.cn/wanghao1/zh_CN/index.htm

近期论文

He, D., Du, Q., Yan, Z., Wang, H. *, and Sun, X. (2024). DeepVMIF: Deep Learning Based Volumetric Multiplex Immunofluorescence Image Analysis. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2024)

Wang, Y. R. #*, Wang, P. C. #, Yan, Z. H. #, Zhou, Q., Gunturkun, F., Li, P., Hu, Y. S., Wu, W. E., Zhao, K. K., Zhang, M., Lv, H. Y., Fu, L. H., Jin, J. J., Du, Q., Wang, H. Y., Chen, K., Qu, L. Q., Lin, K. L., Iv, M., Wang, H., Sun, X. Y., Vogel, H., Han, S. M., Tian, L., Wu, F., & Gong, J*. (2024). Advancing presurgical non-invasive molecular subgroup prediction in medulloblastoma using artificial intelligence and MRI signatures. Cancer Cell, 42(7).

Jia, C. H., Shu, F. Q., Lau, P. M., & Wang, H. * (2024). Acute Observational Stimulus of Restrained Mice Induced Anxiolytic Effects in Observer Mice. Neuroscience Bulletin, 1-6.

Zheng, W.#, Mu, H.#, Chen, Z., Liu, J., Xia, D., Cheng, Y., Jing, Q., Lau, P.-M., Tang, J.*, Bi, G.-Q.*, Wu, F.*, & Wang, H.* (2024). NEATmap: a high-efficiency deep learning approach for whole mouse brain neuronal activity trace mapping. National Science Review, nwae109.

Zhu, X.#, Huang, J. Y.#, Dong, W. Y.#, Tang, H. D.#, Xu, S., Wu, Q. L., Zhang, H. M., Cheng, P. K., Jin, Y. X., Zhu, M. Y., Zhao, W., Mao, Y., Wang, H. T., Zhang, Y., Wang, H., Tao, W.J., Tian, Y. H., Bai, L.*, & Zhang, Z.* (2024). Somatosensory cortex and central amygdala regulate neuropathic pain-mediated peripheral immune response via vagal projections to the spleen. Nature Neuroscience, 27(3), 471-483.

Hu, J., He, K., Yang, Y., Huang, C., Dou, Y., Wang, H., Zhang, G., Wang, J., Niu, C., Bi, G., Zhang, L., & Zhu, S.* (2024). Amino acid formula induces microbiota dysbiosis and depressive-like behavior in mice. Cell Reports, 43(3): 113817.

Ma, C. Z., Xia, D. B., Huang, S. C., Du, Q., Liu, J. J., Zhang, B., Zhu, Q. Y., Bi, G. Q., Wang, H.*, & Xu, R. X.* (2023). High precision vibration sectioning for 3D imaging of the whole central nervous system. Journal of Neuroscience Methods, 399.

Chen, Z. Y., Zheng, W. J., Pang, K. L.*, Xia, D.B., Guo, L. X., Chen, X. J., Wu, F., & Wang, H.* (2023). Weakly supervised learning analysis of Aβ plaque distribution in the whole rat brain. Frontiers in Neuroscience, 16.

Zhang, K. M., Shen, Y., Jia, C. H., Wang, H., Bi, G. Q.*, & Lau, P. M.* (2023). A new paradigm of learned cooperation reveals extensive social coordination and specific cortical activation in mice. Molecular Brain, 16(1).

Huang, C.*, Wang, Y., Chen, P., Shan, Q. H., Wang, H., Ding, L. F., Bi, G. Q., & Zhou, J. N.* (2022). Single-cell reconstruction reveals input patterns and pathways into corticotropin-releasing factor neurons in the central amygdala in mice. Communications Biology, 5(1): 322.

Xu, F. #, Shen, Y. #, Ding, L.F. #, Yang, C. Y. #, Tan, H., Wang, H., Zhu, Q. Y., Xu, R., Wu, F. Y., Xiao, Y. Y., Xu, C., Li, Q. W., Su, P., Zhang, L. I., Dong, H. W., Desimone, R., Xu, F. Q., Hu, X. T., Lau, P. M.*, & Bi, G. Q.* (2021). High-throughput mapping of a whole rhesus monkey brain at micrometer resolution. Nature Biotechnology, 39(12): 1521-+.

Wang, H.#, Zhu, Q. Y.#*, Ding, L. F., Shen, Y., Yang, C. Y., Xu, F., Shu, C., Guo, Y. J., Xiong, Z. W., Shan, Q. H., Jia, F., Su, P., Yang, Q. R., Li, B., Cheng, Y. X., He, X. B., Chen, X., Wu, F., Zhou, J. N., Xu, F. Q., Han, H., Lau, P. M.*, & Bi, G. Q.* (2019). Scalable volumetric imaging for ultrahigh-speed brain mapping at synaptic resolution. National Science Review, 6(5): 982-992.

Zhao, P. N., Xiong, Z. W.*, Liu, D., Wang, H., Yang, C. Y., Ding, L. F., Ding, W. P., Zha, Z. J., Bi, G.Q., & Wu, F. (2017). Progressive Tone Mapping of Brain Images at Single-Neuron Resolution. 2017 IEEE Global Conference on Signal and Information Processing (Globalsip 2017): 958-961.