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Weijuan Qu
Researcher at Ngee Ann Polytechnic
Publications - 75
Citations - 1018
Weijuan Qu is an academic researcher from Ngee Ann Polytechnic. The author has contributed to research in topics: Holography & Digital holography. The author has an hindex of 15, co-authored 75 publications receiving 879 citations. Previous affiliations of Weijuan Qu include Nanyang Technological University & Chinese Academy of Sciences.
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High-speed transport-of-intensity phase microscopy with an electrically tunable lens.
TL;DR: A high-speed transport-of-intensity equation (TIE) quantitative phase microscopy technique, named TL-TIE, by combining an electrically tunable lens with a conventional transmission microscope, with prosperous applications in micro-optics, life sciences and bio-photonics is presented.
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Noninterferometric single-shot quantitative phase microscopy
TL;DR: Investigations of chemical-induced apoptosis and the phagocytosis process of macrophages are presented, suggesting that the method developed can provide promising applications in the dynamic study of cellular processes.
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Phase aberration compensation in digital holographic microscopy based on principal component analysis.
TL;DR: The proposed method decomposes the phase map into a set of values of uncorrelated variables called principal components, and then extracts the aberration terms from the first principal component obtained.
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Quasi-physical phase compensation in digital holographic microscopy
TL;DR: In this paper, the phase curvature introduced by the microscope objective (MO) together with the illuminating wave to the object wave is compensated by introducing the same spherical phase curvatures in the reference beam.
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Boundary-artifact-free phase retrieval with the transport of intensity equation II: applications to microlens characterization.
TL;DR: Experimental results on microlenses highlight the importance of boundary conditions that often overlooked in simplified models, and confirm that the new boundary-artifact-free TIE phase retrieval method effectively avoid the boundary error even when objects are located at the image borders.