A sinusoidal voltage wave generator is proposed based on the use of micro-processor digital signals with programmable duty-cycles, with application to real-time Electrical Cell-substrate Impedance Spectroscopy (ECIS) ...A sinusoidal voltage wave generator is proposed based on the use of micro-processor digital signals with programmable duty-cycles, with application to real-time Electrical Cell-substrate Impedance Spectroscopy (ECIS) assays in cell cultures. The working principle relies on the time convolution of the programmed microcontroller (μC) digital signals. The expected frequency is easily tuned on the bio-impedance spectroscopy range [100 Hz, 1 MHz] thanks to the μC clock frequency selection. This system has been simulated and tested on the 8 bits μC Arduino<sup>TM </sup>Uno with ATmega328 version. Results obtained prove that only three digital signals are required to fit the general specification in ECIS experiments, below 1% THD accuracy, and show the appropriateness of the system for the real-time monitoring of this type of biological experiments.展开更多
EIT (electrical impedance tomography) problem should be represented by a group of partial differential equation, in numerical calculation: the nonlinear problem should be linearization approximately, and then linea...EIT (electrical impedance tomography) problem should be represented by a group of partial differential equation, in numerical calculation: the nonlinear problem should be linearization approximately, and then linear equations set is obtained, so EIT image reconstruct problem should be considered as a classical ill-posed, ill-conditioned, linear inverse problem. Its biggest problem is the number of unknown is much more than the number of the equations, this result in the low imaging quality. Especially, it can not imaging in center area. For this problem, we induce the CS technique into EIT image reconstruction algorithm. The main contributions in this paper are: firstly, built up the relationship between CS and EIT definitely; secondly, sparse reconstruction is a critical step in CS, built up a general sparse regularization model based on EIT; finally, gives out some EIT imaging models based on sparse regularization method. For different scenarios, compared with traditional Tikhonov regularization (smooth regularization) method, sparse reconstruction method is not only better at anti-noise, and imaging in center area, but also faster and better resolution.展开更多
细胞定向行为在皮肤、骨骼等修复和再生中起着非常重要的作用.本文首次采用交流阻抗传感技术实时监测人真皮成纤维细胞(HFF)和人永生化表皮细胞(Ha Ca T)在纳米沟槽(宽度:200 nm,周期:400 nm,深度:70 nm)上的定向行为.结果表明,HFF细胞...细胞定向行为在皮肤、骨骼等修复和再生中起着非常重要的作用.本文首次采用交流阻抗传感技术实时监测人真皮成纤维细胞(HFF)和人永生化表皮细胞(Ha Ca T)在纳米沟槽(宽度:200 nm,周期:400 nm,深度:70 nm)上的定向行为.结果表明,HFF细胞在纳米沟槽上先进行定向排列,再发生胞体的延长;Ha Ca T细胞无定向行为的产生,其粘附和铺展得到了延缓.与平面电极相比,HFF细胞在纳米沟槽上产生的交流阻抗信号(NI值)更大,前期定向排列比后期胞体延长引起的NI值变化更显著,且NI值与定向排列的细胞百分比之间存在着良好的线性关系;Ha Ca T细胞在纳米沟槽上的NI值更小,且粘附比铺展过程对NI值变化的影响更大.本文的研究将为复合型细胞传感器的发展提供思路和支持.展开更多
文摘A sinusoidal voltage wave generator is proposed based on the use of micro-processor digital signals with programmable duty-cycles, with application to real-time Electrical Cell-substrate Impedance Spectroscopy (ECIS) assays in cell cultures. The working principle relies on the time convolution of the programmed microcontroller (μC) digital signals. The expected frequency is easily tuned on the bio-impedance spectroscopy range [100 Hz, 1 MHz] thanks to the μC clock frequency selection. This system has been simulated and tested on the 8 bits μC Arduino<sup>TM </sup>Uno with ATmega328 version. Results obtained prove that only three digital signals are required to fit the general specification in ECIS experiments, below 1% THD accuracy, and show the appropriateness of the system for the real-time monitoring of this type of biological experiments.
基金This work was supported by Chinese Postdoctoral Science Foundation (2012M512098), Science and Technology Research Project of Shaanxi Province (2012K13-02-10), the National Science & Technology Pillar Program (2011BAI08B13 and 2012BAI20B02), Military Program (AWS 11 C010-8).
文摘EIT (electrical impedance tomography) problem should be represented by a group of partial differential equation, in numerical calculation: the nonlinear problem should be linearization approximately, and then linear equations set is obtained, so EIT image reconstruct problem should be considered as a classical ill-posed, ill-conditioned, linear inverse problem. Its biggest problem is the number of unknown is much more than the number of the equations, this result in the low imaging quality. Especially, it can not imaging in center area. For this problem, we induce the CS technique into EIT image reconstruction algorithm. The main contributions in this paper are: firstly, built up the relationship between CS and EIT definitely; secondly, sparse reconstruction is a critical step in CS, built up a general sparse regularization model based on EIT; finally, gives out some EIT imaging models based on sparse regularization method. For different scenarios, compared with traditional Tikhonov regularization (smooth regularization) method, sparse reconstruction method is not only better at anti-noise, and imaging in center area, but also faster and better resolution.
文摘细胞定向行为在皮肤、骨骼等修复和再生中起着非常重要的作用.本文首次采用交流阻抗传感技术实时监测人真皮成纤维细胞(HFF)和人永生化表皮细胞(Ha Ca T)在纳米沟槽(宽度:200 nm,周期:400 nm,深度:70 nm)上的定向行为.结果表明,HFF细胞在纳米沟槽上先进行定向排列,再发生胞体的延长;Ha Ca T细胞无定向行为的产生,其粘附和铺展得到了延缓.与平面电极相比,HFF细胞在纳米沟槽上产生的交流阻抗信号(NI值)更大,前期定向排列比后期胞体延长引起的NI值变化更显著,且NI值与定向排列的细胞百分比之间存在着良好的线性关系;Ha Ca T细胞在纳米沟槽上的NI值更小,且粘附比铺展过程对NI值变化的影响更大.本文的研究将为复合型细胞传感器的发展提供思路和支持.