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首页> 外文期刊>IEEE transactions on biomedical circuits and systems >A 128 × 128 Current-Mode Ultra-High Frame Rate ISFET Array With In-Pixel Calibration for Real-Time Ion Imaging
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A 128 × 128 Current-Mode Ultra-High Frame Rate ISFET Array With In-Pixel Calibration for Real-Time Ion Imaging

机译:一个128×128电流模式超高帧速率ISFET阵列,具有用于实时离子成像的像素校准

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An ultra-high frame rate and high spatial resolution ion-sensing Lab-on-Chip platform using a 128 x 128 CMOS ISFET array is presented. Current mode operation is employed to facilitate high-speed operation, with the ISFET sensors biased in the triode region to provide a linear response. Sensing pixels include a reset switch to allow in-pixel calibration for non-idealities such as offset, trapped charge and drift by periodically resetting the floating gate of the ISFET sensor. Current mode row-parallel signal processing is applied throughout the readout pipeline including auto-zeroing circuits for the removal of fixed pattern noise. The 128 readout signals are multiplexed to eight high-sample-rate on-chip current mode ADCs followed by an off-chip PCIe-based readout system on a FPGA with a latency of 0.15 s. Designed in a 0.3 mu m CMOS process, the complete system-on-chip occupies an area of 2.6 x 2.2 m(2) with a pixel size of 18 x 12.5 mu m(2) and the whole system achieves a frame rate of 3000 fps which is the highest reported in the literature for ISFET arrays. The platform is demonstrated in the application of real-time ion-imaging through the high-speed visualization of sodium hydroxide (NaOH) diffusion in water at 60 fps on screen in addition to slow-motion playback of ion-dynamics recorded at 3000 fps.
机译:呈现了使用128 x 128 CMOS ISFET阵列的超高帧速率和高空间分辨率离子传感实验室平台。采用电流模式操作以促进高速操作,其中ISFET传感器偏置在三极管区域中以提供线性响应。感测像素包括复位开关,以允许以诸如偏移,捕获的电荷和漂移的非理想校准,通过周期性地重置ISFET传感器的浮栅。在整个读出管道中应用电流模式行并行信号处理,包括用于移除固定图案噪声的自动归零电路。 128读出信号被多路复用为八个高采样率片上电流模式ADC,然后在FPGA上进行片外PCIE的读出系统,延迟为0.15秒。设计成0.3 mu M CMOS工艺,整个片上系统占地2.6 x 2.2 m(2)的面积,像素尺寸为18 x 12.5 mu m(2),整个系统达到3000的帧速率FPS是ISFET阵列文献中最高的。除了在屏幕上以60 fps的慢动作播放以3000fps记录的离子动力学的慢动作播放,在筛选中,通过在水中的高速可视化应用于通过水中的高速可视化的实时离子成像来证明该平台。

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