Associate Professor
马宏图

Hongtu Ma


  • Title:Associate Professor
  • E-mail:hongtu.ma@ia.ac.cn
  • Department:Laboratory of Brain Atlas and Brain-inspired Intelligence
  • Address:No. 95 Zhongguancun East Road, Haidian District, Beijing, China
  • Zip Code:100190

Curriculum Vitae

Associate researcher at the Institute of Automation, Chinese Academy of Sciences, excellent worker in electron microscopy technology by the Chinese Academy of Sciences Electron Microscopy Technology Alliance in 2022.He has been engaged in research on high spatial resolution microscopy imaging technology for many years. publishing 9 papers in the field, obtaining more than 10 patents (including 1 PCT patent).

Research Direction

High spatial resolution three-dimensional electron microscopy imaging technology

Research Projects

(1) Development of ultra-thin slicing film enhancement technology function for plasma etching equipment, principal, Chinese Academy of Sciences project, 2017-09--2019-08

(2) Synaptic-level neural big data reconstruction and analysis platform, key member of the project, local task, May 2016 - December 2018

(3) High-throughput scanning electron microscopy three-dimensional imaging system for biological section sequences, key member of the project, Chinese Academy of Sciences plan, January 2017 - December 2018

(4) Microscopic Brain Network Structure Analysis and Reconstruction, Participation, Chinese Academy of Sciences Project, July 2015 - June 2017

(5) Research and Development and Industrialization of Nanoscale Chip Intelligent Analysis System, Key Researcher, Local Project, July 2018 - June 2020

(6) Three-dimensional electron microscopy imaging technology, key contributor, commissioned by enterprise, 2023-03--2026-12

(7) Large-area ion milling instrument for biological slide arrays, principal investigator, Chinese Academy of Sciences project, 2022-01--2023-12


Representative Works

[1] Liu J, Qi J, Chen X, Li Z, Hong B, Ma H, Li G, Shen L, Liu D, Kong Y, Xie Q, Han H, Yang Y. Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data. Cell Reports, 2021; 40(5): 111151-111151.

[2] Dang R, Jia X, Liu X, Ma H, Gao H, Wang G,Controlled synthesis of hierarchical Cu nanosheets @ CuO nanorods as high-performance anode material for lithium-ion batteries, Nano Energy, 33, 2017,427-435

[3] Liao M, Ma H, Yu D, Han H, Xu X, Zhu X, Formation mechanism of anodic titanium oxide in mixed electrolytes. Materials Research Bulletin, 2017, 95: 539-545

[4] Yu D, Zhang S, Zhu X, Ma H, Han H, Song Y, Simulation of anodizing current-time curves and morphology evolution of TiO2 nanotube arrays, Journal of Solid State Electrochemistry, 2014, 18: 2609–2617

[5] Yang M, Wang G, Ma H. An efficient approach for production of polystyrene/poly(4-vinylpridine) particles with various morphologies based on dynamic control. Chem. Commun., 2011, 47, 911-913

[6] Liu C, Wang K,  Li Q, Zhao F, Zhao K, Ma H, Powerful-IoU:More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism, Neural Networks, 2024, 170, 276-284

[7] Liu C, Wang K,  Li Q, Zhao F, Zhao K, Ma H, Novel methods for locating and matching IC cells based on standard cell libraries, Microelectronic Engineering, 2024, 283, 112107

[8] Xiao W, Zhao F, Zhao K, Ma H, Li Q, TA-denseNet: Efficient hardware trust and assurance model based on feature extraction and comparison of SEM images and GDSII images,  Integration, 2024, 95: 102111


Awards and Honors

1. Outstanding Worker in Electron Microscopy Technology of the Chinese Academy of Sciences Electron Microscopy Technology Alliance in 2022

2. Outstanding Individual of the Year 2021 at the Beijing Regional Center for Large-Scale Instrumentation of the Chinese Academy of Sciences (2/13)