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Bing Yu
Researcher at Medical College of Wisconsin
Publications - 62
Citations - 1359
Bing Yu is an academic researcher from Medical College of Wisconsin. The author has contributed to research in topics: Optical fiber & Fiber optic sensor. The author has an hindex of 20, co-authored 62 publications receiving 1198 citations. Previous affiliations of Bing Yu include Virginia Tech & Marquette University.
Papers
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Journal ArticleDOI
Fiber Fabry-Perot Sensors For Detection Of Partial Discharges in Power Transformers
TL;DR: Test results indicate that these fiber optic acoustic sensors are capable of faithfully detecting acoustic signals propagating inside transformer oil with high sensitivity and wide bandwidth.
Journal ArticleDOI
Papaverine and its derivatives radiosensitize solid tumors by inhibiting mitochondrial metabolism
Martin Benej,Xiangqian Hong,Sandip Vibhute,Sabina Scott,Jinghai Wu,Edward E. Graves,Quynh-Thu Le,Albert C. Koong,Amato J. Giaccia,Bing Yu,Ching-Shih Chen,Ioanna Papandreou,Nicholas C. Denko +12 more
TL;DR: It is shown that hypoxic tumors can be sensitized to RT by targeting mitochondrial respiration, leading to increased tumor oxygenation and radiation response and derivatives of papaverine that have the potential to become clinical radiosensitizers with potentially fewer side effects.
Journal ArticleDOI
Optical Assesssment of Tumor Resection Margins in the Breast
J. Quincy Brown,Torre Michelle Bydlon,Lisa Richards,Bing Yu,Stephanie A. Kennedy,Joseph Geradts,Lee G. Wilke,Marlee K. Junker,Jennifer Gallagher,William T. Barry,Nimmi Ramanujam +10 more
TL;DR: Clinical design criteria for intraoperative breast tumor margin assessment is discussed, and the development and clinical testing of quantitative diffuse reflectance imaging (Q-DRI) is reported on as a potential solution to this clinical need.
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Performance metrics of an optical spectral imaging system for intra-operative assessment of breast tumor margins
Torre Michelle Bydlon,Stephanie A. Kennedy,Lisa Richards,J. Quincy Brown,Bing Yu,Marlee K. Junker,Jennifer Gallagher,Joseph Geradts,Lee G. Wilke,Nimmi Ramanujam +9 more
TL;DR: The system was found to have an average signal to noise ratio (SNR) >100 and <15% error in the extraction of optical properties indicating that there is sufficient SNR to leverage the differences in optical properties between negative and close/positive margins.
Journal ArticleDOI
Smartphone based optical spectrometer for diffusive reflectance spectroscopic measurement of hemoglobin
Perry S. Edwards,Chenji Zhang,Baigang Zhang,Xiangqian Hong,Vivek Krishna Nagarajan,Bing Yu,Zhiwen Liu +6 more
TL;DR: A miniature, visible to near infrared G-Fresnel spectrometer that contains a complete spectrograph system, including the detection hardware and connects with a smartphone through a microUSB port for operational control is reported.