Speeding up the Topography Imaging of Atomic Force Microscopy by Convolutional Neural Network

Author:

Zheng Peng1ORCID,He Hao1,Gao Yun1,Tang Peiwen23,Wang Hailong2,Peng Juan3,Wang Lei1ORCID,Su Chanmin4,Ding Songyuan2ORCID

Affiliation:

1. School of Aerospace Engineering, Xiamen University, Xiamen 361005, China

2. College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China

3. School of Chemistry and Chemical Engineering, Ningxia University, Ningxia 750021, China

4. Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

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2. An Intelligent Recommendation Model for ELT Resources Combining Improved LFM Model and Parallel CNN;2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT);2023-11-10

3. Cell recognition based on atomic force microscopy and modified residual neural network;Journal of Structural Biology;2023-09

4. Machine Learning Techniques For AFM-Based Imaging of Cells;2023 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO);2023-07-31

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