Phase image detection of typical leukocytes for their feature analysis

Yang Zou; Huan Cao; Zhenyang Chen; Yu Liang; Shuangshuang Xue; Yuanyuan Xu; Yawei Wang; Boyuan Qian; Chenyuan Xu

doi:10.1117/12.2579654

7 October 2020 Phase image detection of typical leukocytes for their feature analysis

Yang Zou, Huan Cao, Zhenyang Chen, Yu Liang, Shuangshuang Xue, Yuanyuan Xu, Yawei Wang, Boyuan Qian, Chenyuan Xu

Proceedings Volume 11571, Optics Frontier Online 2020: Optics Imaging and Display; 115710C (2020) https://doi.org/10.1117/12.2579654
Event: Optics Frontiers Online 2020: Optics Imaging and Display (OFO-1), 2020, Shanghai, China

Abstract

Quantitative phase imaging technology has become an important technology for imaging phase objects such as cells in virtue of the advantages of non-destructive, non-invasive and high accuracy. More importantly, the phase of a cell is closely related to its internal structure and component. In this paper, according to the morphological and optical characteristics of typical leukocytes, the approximate models of different kinds of cells were firstly established to obtain the corresponding phases. Then, digital image edge operators such as gradient, gradient module and Laplace were used to detect the phase maps. Subsequently with the phase detection images of the cell, its feature information, such as the morphology and the refractive index change can be analyzed. Simulation results suggested that the edge operators are sensitive to the morphology, the interface of each medium and component of the cell. Therefore, the edge detection method of phase image can be used for cell’s classification recognition and preliminary determination of internal structure

Citation Download Citation

Yang Zou, Huan Cao, Zhenyang Chen, Yu Liang, Shuangshuang Xue, Yuanyuan Xu, Yawei Wang, Boyuan Qian, and Chenyuan Xu "Phase image detection of typical leukocytes for their feature analysis", Proc. SPIE 11571, Optics Frontier Online 2020: Optics Imaging and Display, 115710C (7 October 2020); https://doi.org/10.1117/12.2579654

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