Superresolution Electrochemical Impedance Imaging With A 512 256 Cmos Sensor Array

• doi: 10.1109/TBCAS.2022.3183856
• title: Super-Resolution Electrochemical Impedance Imaging With a 512 × 256 CMOS Sensor Array
• publisher: IEEE
• isbn:
• issn: 1940-9990
• rank: 3672
• access_type: LOCKED
• content_type: Journals
• abstract: 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.
• article_number: 9797857
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9797857
• html_url: https://ieeexplore.ieee.org/document/9797857/
• abstract_url: https://ieeexplore.ieee.org/document/9797857/
• publication_title: IEEE Transactions on Biomedical Circuits and Systems
• conference_location:
• conference_dates:
• publication_number: 4156126
• is_number: 9916560
• publication_year: 2022
• publication_date: Aug. 2022
• start_page: 502
• end_page: 510
• citing_paper_count: 9
• citing_patent_count: 0
• download_count: 1461
• insert_date: 20220616
• index_terms:
  • ieee_terms:
    • Capacitance
    • Electrodes
    • Sensors
    • Impedance
    • Sensor arrays
    • Capacitance measurement
    • Clocks
  • author_terms:
    • Biosensor
    • impedance spectroscopy
    • super-resolution
    • electrochemical
    • image sensor
    • CMOS
    • dielectric spectroscopy
    • impedance tomography
    • computational imaging
  • dynamic_index_terms:
    • Sensor Array
    • Impedance Imaging
    • Electrochemical Imaging
    • CMOS Sensor Array
    • Single Image
    • Multiple Images
    • Electrochemical Impedance Spectroscopy
    • Reconstruction Algorithm
    • Low-resolution Images
    • Image Reconstruction Algorithm
    • Super-resolution Reconstruction
    • Family Of Techniques
    • Sub-pixel Resolution
    • Optical Tomography
    • Optical Imaging
    • Microspheres
    • Microbeads
    • Cell Clusters
    • Electrode Surface
    • Raw Images
    • Spatial Domain
    • Bias Voltage
    • Composite Image
    • Titanium Nitride
    • Multiple Frames
    • Offset Vector
    • Shift Register
    • Switching Frequency
    • Parasitic Capacitance
    • Readout Circuit
    • Electrode Spacing
    • Ultimate Limit
• authors:
  • Author Name: Kangping Hu
    Affiliation: School of Engineering Brown University, Providence, RI, USA
    Author URL: https://ieeexplore.ieee.org/author/37087111690
    ID: 37087111690
    Order: 1
    Author Affiliations:
    • School of Engineering Brown University, Providence, RI, USA
  • Author Name: Jason Ho
    Affiliation: School of Engineering Brown University, Providence, RI, USA
    Author URL: https://ieeexplore.ieee.org/author/37089558815
    ID: 37089558815
    Order: 2
    Author Affiliations:
    • School of Engineering Brown University, Providence, RI, USA
  • Author Name: Jacob K. Rosenstein
    Affiliation: School of Engineering Brown University, Providence, RI, USA
    Author URL: https://ieeexplore.ieee.org/author/37945044700
    ID: 37945044700
    Order: 3
    Author Affiliations:
    • School of Engineering Brown University, Providence, RI, USA

Image Sensor

• sensor_type: CMOS
• resolution: 512 x 256
• dynamic_range: Not specified
• pixel_size: 10 µm x 10 µm
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• power_consumption: 58.8 mW

Applications & Benefits

• cell_imaging: Super-resolution electrochemical impedance imaging for biological samples, particularly unicellular algae.
• benefits: Enhanced resolution beyond the physical electrode spacing, enabling spatially-resolved information extraction from bio-samples.

Supporting Organizations

• supported_by: Defense Advanced Research Projects Agency (DARPA), National Science Foundation under Grant 2027108.

Manuscript Details

• publication_date: Aug. 2022

Relevancy Score

• score: 9
• missing_fields:
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise

Processed JSON Filename

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