Super-Resolution Electrochemical Impedance Imaging With a 512 × 256 CMOS Sensor Array

IEEE Transactions on Biomedical Circuits and Systems(2022)

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摘要
Super-resolution imaging is a family of techniques in which multiple lower-resolution images can be merged to produce a single image at higher resolution. While super-resolution is often applied to optical systems, it can also be used with other imaging modalities. Here we demonstrate a 512 × 256 CMOS sensor array for micro-scale super-resolution electrochemical impedance spectroscopy (SR-EIS) imaging. The system is implemented in standard 180 nm CMOS technology with a 10 $\mu$ m × 10 $\mu$ m pixel size. The sensor array is designed to measure the mutual capacitance between programmable sets of pixel pairs. Multiple spatially-resolved impedance images can then be computationally combined to generate a super-resolution impedance image. We use finite-element electrostatic simulations to support the proposed measurement approach and discuss straightforward algorithms for super-resolution image reconstruction. We present experimental measurements of sub-cellular permittivity distribution within single green algae cells, showing the sensor’s capability to produce microscale impedance images with sub-pixel resolution.
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关键词
Algorithms,Diagnostic Imaging,Electric Impedance,Image Processing, Computer-Assisted,Optical Devices
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