1.Research on RCD of burned rats based on model of silicon microchannels-capillary
Wenxian ZHANG ; Xiaolin ZHENG ; Yanjian LIAO ; Chenglin PENG ; Guoxiang HE
Chinese Medical Equipment Journal 2003;0(12):-
The red cell deformability (RCD) has been taken as a diagnostic aid in recent years. The dilute red cell suspension passes through the silicon microch annels under constant suction pressure. Such three parameters of RCD are measure d as IF (filtration index), and The results show that the above-mentioned parameters can reflect the changes of cell rheological characteristics from dif ferent aspects. With the observation of the flow passage, the rehological charac teristics can be evaluated accurately and comprehensively.
2.The study of active noise control method for noisy surgery tools.
Bin LIAO ; Yanjian LIAO ; Hongyan LUO
Journal of Biomedical Engineering 2011;28(6):1126-1140
Noise problem is encountered in many types of surgery, especially in orthopaedic surgery, where the cutting tool and its actuation part such as motor always generates big noise. This work is dedicated to developing a novel and promising solution based on the active noise control (ANC) technology to solve the noise problem in an orthopaedic theatre. The development process began with building an engineering evaluation model (EEM) to analyze the specifics of sound interactions and sound field involved in the noise problem. This model can describe the acoustic problem in a straightforward way, help to design a good control system and furthermore to assess the result and to optimize the control structure. Then the "auto position tracking near head space ANC" strategy was proposed from the model study. Furthermore, the real sound field measurement experiment proved the possibility of proposed design.
Humans
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Models, Theoretical
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Noise
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prevention & control
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Operating Rooms
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Orthopedic Procedures
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instrumentation
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Surgical Instruments
3.Research Progress on Microfluidic Chip of Cell Separation Based on Dielectrophoresis
Li CHEN ; Xiaolin ZHENG ; Ning HU ; Jun YANG ; Hongyan LUO ; Fan JIANG ; Yanjian LIAO
Chinese Journal of Analytical Chemistry 2015;(2):300-309
Cell separation technology is an important means for cell sorting and cell-population purification. It is the current international research hot spot in biochemical analysis which has very important applications in many fields such as biology, medicine, agriculture and environment. This review introduces the development status of cell separation using microfluidic chip based on dielectrophoresis. It expounds the working principle of dielectrophoresis and the key factors such as cell size, electrode shape and signals that impacts the dielectrophoresis of cell separation on different types of microfluidic chip. Finally, it forecasts the future development trend of cell separation using microfluidic chip based on dielectrophoresis.
4.Research progress on mechanical perturbation in stroke rehabilitation.
Journal of Biomedical Engineering 2022;39(6):1240-1246
Sensorimotor disorder can be easily caused by stroke, and there are many targeted movement rehabilitation therapies. With the development of rehabilitation robot technology, robot-assisted therapy combined with mechanical perturbations has become a more effective motor rehabilitation therapy. In this paper, the definition of mechanical perturbation and its physiological mechanism in stroke rehabilitation are introduced, the research progress on mechanical perturbation in the field of stroke rehabilitation therapy is mainly discussed, the application of mechanical perturbation in motor control, postural response and sensory evaluation of stroke rehabilitation is summarized, and the future development direction of mechanical perturbation rehabilitation therapy is also prospected.
Humans
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Stroke Rehabilitation
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Robotics
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Stroke
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Physical Therapy Modalities
5.Fabrication of three-dimensional microwell patterns and their integration with C17. 2 neural stem cells.
Liguang ZHANG ; Zezhi WU ; Zhaoquan SONG ; Qiping HUANG ; Yanjian LIAO ; Chenzhong LI
Journal of Biomedical Engineering 2012;29(3):555-562
UV photolithography and hydrofluoric acid wet etching were used to produce silicon master molds and polydimethylsiloxane (PMDS)-based soft lithography was adopted to fabricate three-dimensional poly(lactic-co-glycolic acid) (PLGA) and PDMS microwell patterns with high aspect ratio and channel connection. Nine microwell patterns were thus obtained with different structural dimensions. Patterns were treated with oxygen plasma etching and polylysine coating to enhance hydrophilicity and cell compatibility for subsequent culture of C17. 2 neural stem cells. With proliferation during the culture, C17. 2 cells gradually distributed within the microwells, showing an obviously three-dimensional (3-D) growth behavior. The presence of channel structures greatly favored the 3-D growth of C17. 2 neural stem cells on the microwell patterns. Multi-layered scanning with confocal microscopy and 3-D rendering after carboxyfluorescein diacetate succinimidyl ester (CFDA-SE) staining showed that most C17. 2 cells grew within a range of 30 to 90 microm from the microwell bottom. Immunofluorescence staining indicated that C17. 2 cells within 3-D microwell patterns were uniformly nestin-positive on day 2 after cell plating. It could well be concluded that the microwell patterns thus fabricated were suitable for the 3-D culture and subsequent differentiation of C17. 2 neural stem cells. And the cells can be maintained with uniform stemness properties while cultured in these microwell patterns.
Cell Culture Techniques
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methods
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Dimethylpolysiloxanes
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chemistry
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Imaging, Three-Dimensional
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Intermediate Filament Proteins
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metabolism
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Lactic Acid
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chemistry
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Microscopy, Confocal
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Nerve Tissue Proteins
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metabolism
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Nestin
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Neural Stem Cells
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cytology
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Polyglycolic Acid
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chemistry
6.Design and implementation of an automatic analysis system for magnetic resonance quality detection based on QT.
Hongyan LUO ; Xu XU ; Chenglong GAO ; Mingyong LI ; Yanjian LIAO
Journal of Biomedical Engineering 2019;36(4):627-632
The quality inspection of magnetic resonance imaging (MRI) performance parameters is an important means to ensure the image quality and the reliability of diagnosis results. There are some problems in the manual calculation and eye recognition of the quality inspection parameters, such as strong subjectivity and low efficiency. In view of these facts, an automatic analysis system for MRI quality detection based on QT is proposed and implemented in C++ language. The image processing algorithm is introduced to automatically measure and calculate the quality inspection parameters. The software with comprehensive functions is designed to systematically manage the quality inspection information of MRI. The experimental results show that the automatically calculated parameters are consistent with the manually calculated ones. Accordingly, the accuracy and reliability of the algorithm is verified. The whole system is efficient, convenient and easy to operate, and it can meet the actual needs of MRI quality inspection.
Algorithms
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Image Processing, Computer-Assisted
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Magnetic Resonance Imaging
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standards
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Reproducibility of Results