Li Yu

Dr. Li Yu

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 January 2020 in Advanced Functional Materials
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Journal Article
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LYLi Yu
Li Yu
SPSteven Parker
Steven Parker
HXHaifeng Xuan
Haifeng Xuan
YZYujing Zhang
Yujing Zhang
SJShan Jiang
Shan Jiang
XJXiaoting Jia
Xiaoting Jia

1 August 2020 in Nano Energy
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Journal Article
Closed access
ZFZiang Feng
Ziang Feng
SYShuo Yang
Shuo Yang
SJSixian Jia
Sixian Jia
YZYujing Zhang
Yujing Zhang
SJShan Jiang
Shan Jiang
XJXiaoting Jia
Xiaoting Jia

24 January 2020 in PLOS ONE
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Journal Article
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YGYuanyuan Guo
Yuanyuan Guo
CWCarl F. Werner
Carl F. Werner
ACAndres Canales
Andres Canales
LYLi Yu
Li Yu
XJXiaoting Jia
Xiaoting Jia
TYTatsuo Yoshinobu
Tatsuo Yoshinobu
Electrical recording permits direct readout of neural activity but offers limited ability to correlate it to the network topography. On the other hand, optical imaging reveals the architecture of neural circuits, but relies on bulky optics and fluorescent reporters whose signals are attenuated by the brain tissue. Here we introduce implantable devices to record brain activities based on the field effect, which can be further extended with capability of label-free electrophysiological mapping. Such devices reply on light-addressable potentiometric sensors (LAPS) coupled to polymer fibers with integrated electrodes and optical waveguide bundles. The LAPS utilizes the field effect to convert electrophysiological activity into regional carrier redistribution, and the neural activity is read out in a spatially resolved manner as a photocurrent induced by a modulated light beam. Spatially resolved photocurrent recordings were achieved by illuminating different pixels within the fiber bundles. These devices were applied to record local field potentials in the mouse hippocampus. In conjunction with the raster-scanning via the single modulated beam, this technology may enable fast label-free imaging of neural activity in deep brain regions.

1 July 2016 in Optical Fiber Technology
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Journal Article
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LYLi Yu
Li Yu
EBElizabeth Bonnell
Elizabeth Bonnell
DHDaniel Homa
Daniel Homa
GPGary Pickrell
Gary Pickrell
AWAnbo Wang
Anbo Wang
MBMichael Buric
Michael Buric

2 December 2019 in Polymers
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MTMaryam Tousi
Maryam Tousi
YZYujing Zhang
Yujing Zhang
SWShaowei Wan
Shaowei Wan
LYLi Yu
Li Yu
CHChong Hou
Chong Hou
XJXiaoting Jia
Xiaoting Jia
In this study, we fabricated a highly flexible fiber-based capacitive humidity sensor using a scalable convergence fiber drawing approach. The sensor’s sensing layer is made of porous polyetherimide (PEI) with its porosity produced in situ during fiber drawing, whereas its electrodes are made of copper wires. The porosity induces capillary condensation starting at a low relative humidity (RH) level (here, 70%), resulting in a significant increase in the response of the sensor at RH levels ranging from 70% to 80%. The proposed humidity sensor shows a good sensitivity of 0.39 pF/% RH in the range of 70%–80% RH, a maximum hysteresis of 9.08% RH at 70% RH, a small temperature dependence, and a good stability over a 48 h period. This work demonstrates the first fiber-based humidity sensor fabricated using convergence fiber drawing.

11 May 2017 in Optical Materials Express
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Journal Article
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LYLi Yu
Li Yu
HXHaifeng Xuan
Haifeng Xuan
YGYuanyuan Guo
Yuanyuan Guo
ACAi Lin Chin
Ai Lin Chin
RTRong Tong
Rong Tong
XJXiaoting Jia
Xiaoting Jia
In this paper we propose a new and cost-effective fabrication scheme for porous polymer optical fibers. Different porous polymer fibers made from polycarbonate (PC) and poly(methyl methacrylate) (PMMA) using this method have been thermally drawn and characterized. Porosity in the fiber cladding is introduced by the absorbed water in one layer of the polymer fiber preforms under heat treatment and/or thermal drawing, and can be controlled by adjusting the water concentration. In addition, we have shown that the fabricated porous polymer fibers have the potential application in localized drug delivery for cancer treatment.