Zhao, H., Sun, C., Shi, D., Hou, J. J., Hou, L. , Ni, B., Xu, B., Liu, X. and Xiong, J. (2024) Phase reconstruction and singularity recovery of submicron particles in far-field phase space data using deep learning networks. Optics and Laser Technology, (Accepted for Publication)
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322908.pdf - Accepted Version Restricted to Repository staff only 1MB |
Item Type: | Articles |
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Additional Information: | This work was supported by the National Major Scientific Instruments and Equipment Development Project (No.61827814), Beijing Natural Science Foundation (No. Z190018), the National Natural Science Foundation of China (No. 62105155), the Ministry of Education collaborative project (B17023) and the Natural Science Foundation of Jiangsu Province (BK20210326). |
Keywords: | Phase reconstruction, phase singularity, phase space, submicron particle, deep learning. |
Status: | Accepted for Publication |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Hou, Dr Lianping |
Authors: | Zhao, H., Sun, C., Shi, D., Hou, J. J., Hou, L., Ni, B., Xu, B., Liu, X., and Xiong, J. |
College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
Journal Name: | Optics and Laser Technology |
Publisher: | Elsevier |
ISSN: | 0030-3992 |
ISSN (Online): | 1879-2545 |
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