Mr. Zhiyuan Tang Profile

Zhiyuan Tang

at Ocean College Zhejiang Univ

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Proceedings Article | 12 March 2021 Paper

Classification of phytoplankton digital holograms using transfer learning

Xin Qiao, Ming Tang, Zhiyuan Tang, Kaiqi Lang, Xiaoping Wang

Proceedings Volume 11763, 117636D (2021) https://doi.org/10.1117/12.2587333

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Phytoplankton, as an important component of marine ecosystem, play a key role in understanding marine resources and monitoring marine environment. In this paper, under the suggestion of marine biology professional researcher, we selected six kinds of phytoplankton commonly found in China’s coastal areas and conducted digital holographic microscopic imaging experiments to obtain their holograms. Then, the angular spectrum reconstruction algorithm was used to conduct diffraction reconstruction of the phytoplankton hologram to achieve clear imaging of the algae target. A threshold based image segmentation algorithm is used to segment the phytoplankton target area and obtain image dataset. Finally, transfer learning is used to train on the pre-trained model. Experimental results show that the classification accuracy of the trained network on the test set can reach 95.7%.

Proceedings Article | 12 March 2021 Paper

Research on improving reconstruction quality from holograms of marine algae in digital holographic microscopy

Zhiyuan Tang, Ming Tang, Xin Qiao, Kaiqi Lang, Xiaoping Wang

Proceedings Volume 11763, 117632G (2021) https://doi.org/10.1117/12.2586391

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In this paper, we improve reconstruction quality from in-line holograms of marine algae by two phase-retrieval-based reconstruction methods. Digital holographic microscopy, with its high-resolution and volume recording capability, has been applied in the area of monitoring marine algae. We designed a digital in-line holographic microscopy laboratory system to observe and analyze marine algae. Due to the “twin-image” problem caused by the loss of phase information in hologram recording, the reconstructed quality from holograms of marine algae reduced significantly. To enhance reconstruction quality, the alternating projections methods and inverse methods are introduced and implemented on the marine algae holograms. Compared with the traditional backpropagation method, both of the above methods have good performance in improving reconstruction quality from in-line marine algae holograms.

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