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Lingfeng Yu

Researcher at University of South Florida

Publications -  23
Citations -  1696

Lingfeng Yu is an academic researcher from University of South Florida. The author has contributed to research in topics: Holography & Digital holography. The author has an hindex of 15, co-authored 23 publications receiving 1603 citations. Previous affiliations of Lingfeng Yu include Hong Kong University of Science and Technology.

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High-resolution quantitative phase-contrast microscopy by digital holography

TL;DR: Techniques of digital holography are improved in order to obtain high-resolution, high-fidelity images of quantitative phase-contrast microscopy, and the angular spectrum method of calculating holographic optical field is seen to have significant advantages including tight control of spurious noise components.
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Wavelength-scanning digital interference holography for tomographic three-dimensional imaging by use of the angular spectrum method

TL;DR: A tomographic imaging system based on wavelength-scanning digital interference holography is developed by applying the angular spectrum method, which can reconstruct the wave field at any distance from the hologram plane.
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Interference techniques in digital holography

TL;DR: The dual wavelength optical unwrapping technique offers an unambiguous method of removing 2π phase discontinuity as discussed by the authors, and the angular spectrum method is seen to be particularly advantageous, with the ability to remove noise and unwanted holographic terms.
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Movies of cellular and sub-cellular motion by digital holographic microscopy

TL;DR: Digital holography as mentioned in this paper is an emergent phase contrast technique that offers an excellent approach in obtaining both qualitative and quantitative phase information from the hologram, which can be used for studying living cells and furthering scientific understanding of fundamental cellular processes such as mitosis.
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Iterative algorithm with a constraint condition for numerical reconstruction of a three-dimensional object from its hologram

TL;DR: A novel method to obtain the three-dimensional mathematical model of a transparent object from its hologram that can numerically extract the object information from the fringe pattern of the hologram is presented.