R
Ru Wang
Researcher at University of Illinois at Urbana–Champaign
Publications - 13
Citations - 520
Ru Wang is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Phase (waves) & Dispersion relation. The author has an hindex of 8, co-authored 13 publications receiving 474 citations.
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Book ChapterDOI
Quantitative Phase Imaging
Journal ArticleDOI
Dispersion-relation phase spectroscopy of intracellular transport.
TL;DR: This work used quantitative phase imaging to measure the dispersion relation, i.e. decay rate vs. spatial mode, associated with mass transport in live cells and extracted the diffusion coefficient as the only fitting parameter from the quadratic experimental curve specific to diffusion.
Journal ArticleDOI
Label-Free Characterization of Emerging Human Neuronal Networks
Mustafa Mir,Mustafa Mir,Taewoo Kim,Anirban Majumder,Mike Xiang,Ru Wang,S. Chris Liu,Martha U. Gillette,Steven L. Stice,Gabriel Popescu +9 more
TL;DR: It is demonstrated that by using a novel optical interferometric technique, one can non-invasively measure several fundamental properties of neural networks from the sub-cellular to the cell population level.
Journal ArticleDOI
Phase correlation imaging of unlabeled cell dynamics.
Lihong Ma,Gannavarpu Rajshekhar,Gannavarpu Rajshekhar,Ru Wang,Basanta Bhaduri,Basanta Bhaduri,Shamira Sridharan,Mustafa Mir,Arindam Chakraborty,Rajashekar Iyer,Supriya G. Prasanth,Larry J. Millet,Larry J. Millet,Martha U. Gillette,Gabriel Popescu +14 more
TL;DR: It is shown that phase correlation imaging can extract quantitatively the diffusion coefficient map associated with live cells, as well as standard Brownian particles, and found that PCI can distinguish between senescent and quiescent cells, which is extremely difficult without using specific markers currently.
Journal ArticleDOI
Cardiomyocyte imaging using real-time spatial light interference microscopy (SLIM).
TL;DR: This paper presents the dispersion relation, i.e. decay rate vs. spatial mode, associated with dynamic beating cardiomyocyte cells from the quantitative phase images obtained with the real-time SLIM system, and uses a fast LCPM for phase shifting and a fast scientific-grade complementary metal oxide semiconductor camera (sCMOS) camera (Andor) for imaging.