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Dive into the research topics where Runhuai Yang is active.

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Featured researches published by Runhuai Yang.


robotics and biomimetics | 2013

Development of automated patch clamp system for electrophysiology

Runhuai Yang; King Wai Chiu Lai; Ning Xi; Jie Yang

In this paper, the development of an automated patch clamp system for cellular electrical information is reported. The system involves several developments that enable the following tasks: “pipette and cell localization”, “pipette engaging”, “gigaseal”, and “break-in”. The system enables us to engage the glass micro pipette automatically on the cell membrane, and perform whole cell recording on adherent cells. In a patch clamp experiment, the dynamic changes of resistance of the pipette were monitored, and a successful whole cell recording of a cell was demonstrated.


Advanced Healthcare Materials | 2017

Multiplexed Optogenetic Stimulation of Neurons with Spectrum-Selective Upconversion Nanoparticles

Xudong Lin; Ying Wang; Xian Chen; Runhuai Yang; Zixun Wang; Jingyu Feng; Haitao Wang; King Wai Chiu Lai; Jufang He; Feng Wang; Peng Shi

Optical modulation of nervous system becomes increasingly popular as the wide adoption of optogenetics. For these applications, upconversion materials hold great promise as novel photonic elements. This study describes an upconversion based strategy for combinatorial neural stimulation both in vitro and in vivo by using spectrum-selective upconversion nanoparticles (UCNPs). NaYF4 based UCNPs are used to absorb near-infrared (NIR) energy and to emit visible light for stimulating neurons expressing different channelrhodopsin (ChR) proteins. The emission spectrum of the UCNPs is selectively tuned by different doping strategy (Tm3+ or Er3+ ) to match the responsive wavelength of ChR2 or C1V1. When the UCNPs are packaged into a glass microoptrode, and placed close to or in direct contact with neurons expressing ChR2 or C1V1, the cells can be reliably activated by NIR illumination at single cell level as well as network level, which is characterized by patch-clamping and multielectrode-array recording in culture primary neurons. Furthermore, the UCNP-based optrode is implanted into the brain of live rodents to achieve all-optical remote activation of brain tissues in mammalian animals. It is believed that this proof-of-concept study opens up completely new applications of upconversion materials for regulating physiological functions, especially in neuroscience research.


Micromachines | 2017

Development of the Electric Equivalent Model for the Cytoplasmic Microinjection of Small Adherent Cells

Florence Hiu Ling Chan; Runhuai Yang; King Wai Chiu Lai

A novel approach utilizing current feedback for the cytoplasmic microinjection of biological cells is proposed. In order to realize the cytoplasmic microinjection on small adherent cells (diameter < 30 μm and thickness < 10 μm), an electrical model is built and analyzed according to the electrochemical properties of target cells. In this study, we have verified the effectiveness of the current measurement for monitoring the injection process and the study of ion channel activities for verifying the cell viability of the cells after the microinjection.


international conference on nano/molecular medicine and engineering | 2013

Analysis of electrode condition for whole cell recording

Runhuai Yang; King Wai Chiu Lai; Ning Xi; Jie Yang

In this paper, an experimental study on the successful rate of using different types of pipettes for whole cell recording is reported. 5 types of pipettes have been designed and made. The procedure of whole cell recording has been analyzed, and the seal formation of and the rupture of patched membrane have been monitored. According to our research, the optimized value of pipette resistance is 15-30 MΩ for whole cell recording.


IEEE Transactions on Automation Science and Engineering | 2017

Design and Analysis of Electrical Resistance Feedback for Automated Patch Clamp on Adherent Cells

Runhuai Yang; Yuqiang Fang; Jie Yang; King Wai Chiu Lai

Conventional patch clamp techniques require complex manual work. Automated patch clamp systems have been recently developed to eliminate the need of manual handling, but these systems can only perform recordings on suspended cells and require cell dissociation for recordings on adherent cells. Here, we develop a systematic approach to apply electrical resistance feedback for automated patch clamp recording on adherent cells. By developing resistance thresholds in the electrical resistance feedback algorithm, the engaging condition of the adherent cell was automatically determined. We analyze the critical parameters that affect the performance of the automated patch clamp recording. By using the new algorithm for automated engaging and formation, the cell-attached and whole-cell recordings on adherent cells were performed in less than 5 min with the yield of over 70%. The system is designed to directly measure the adherent cells and so, cell dissociation (e.g., trypsin treatment and cell scrapers) can be avoided and the cell properties can be maintained. By using the system, the efficiency of performing the automated patch clamp on adherent cells can be improved, which is of great importance in electrophysiological studies of single cells.


robotics and biomimetics | 2014

Analysis of visual-based micromanipulation for patch clamp recording

Runhuai Yang; Chi Ho Tam; Ka Lun Cheung; Kai Chun Wong; King Wai Chiu Lai

Recent advances in patch clamp system have demonstrated that a visual-based micromanipulation strategy can benefit to perform electrophysiological recording automatically. In this paper, the design and implementation of a micromanipulation system with the visual-based identification are reported. The system is able to manipulate a patch clamp pipette to the position of target cells automatically. The calibration and alignment method based on the coordinate frames of the camera and micromanipulator are introduced. Some parameters such as angle of rotation matrix and displacement errors are analyzed.


international conference on nanotechnology | 2013

Development of a nanorobotic station for electrophysiology under nanomechanical stimulation

Runhuai Yang; King Wai Chiu Lai; Yuqiang Fang; Ning Xi; Jie Yang

In this paper, the development of a nanorobotic station for acquisition of cellular electrical and mechanical information is reported. This station involves the development of a nanomanipulation platform and a planar patch-clamp module. The nanomanipulation platform not only enables the observation of biological cells, but also has the ability to give a precise pico-Newton force stimulus on a certain position of cells. The membrane potential of cells can be recorded by the patch clamp module. The module also has the ability to generate electric stimulus to the biological cells. This station provides a method to research both mechanical and electrical properties of living cells.


robotics and biomimetics | 2014

Cell segmentation and pipette identification for automated patch clamp recording

Runhuai Yang; Chi Ho Tam; Ka Lun Cheung; Kai Chun Wong; Ning Xi; Jie Yang; King Wai Chiu Lai


Micro & Nano Letters | 2015

Investigation of penetration using atomic force microscope: potential biomarkers of cell membrane

Runhuai Yang; Lianqing Liu; Changlin Zhang; Ning Xi; Jie Yang


Advanced Healthcare Materials | 2017

Neural Stimulation: Multiplexed Optogenetic Stimulation of Neurons with Spectrum-Selective Upconversion Nanoparticles (Adv. Healthcare Mater. 17/2017)

Xudong Lin; Ying Wang; Xian Chen; Runhuai Yang; Zixun Wang; Jingyu Feng; Haitao Wang; King Wai Chiu Lai; Jufang He; Feng Wang; Peng Shi

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King Wai Chiu Lai

City University of Hong Kong

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Jie Yang

University of Science and Technology of China

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Ning Xi

University of Hong Kong

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Chi Ho Tam

City University of Hong Kong

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Feng Wang

City University of Hong Kong

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Haitao Wang

Hong Kong Polytechnic University

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Jingyu Feng

City University of Hong Kong

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Jufang He

City University of Hong Kong

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Ka Lun Cheung

City University of Hong Kong

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Kai Chun Wong

City University of Hong Kong

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