Cmos Electrochemical Imaging Arrays For The Detection And Classification Of Microorganisms

• doi: 10.1109/ISCAS51556.2021.9401471
• title: CMOS Electrochemical Imaging Arrays for the Detection and Classification of Microorganisms
• publisher: IEEE
• isbn: 978-1-7281-9201-7
• issn: 2158-1525
• rank: 1765
• access_type: LOCKED
• content_type: Conferences
• abstract: Microorganisms account for most of the biodiversity on earth. Yet while there are increasingly powerful tools for studying microbial genetic diversity, there are fewer tools for studying microorganisms in their natural environments. In this paper, we present recent advances in CMOS electrochemical imaging arrays for detecting and classifying microorganisms. These microscale sensing platforms can provide non-optical measurements of cell geometries, behaviors, and metabolic markers. We review integrated electronic sensors appropriate for monitoring microbial growth, and present measurements of single-celled algae using a CMOS sensor array with thousands of active pixels. Integrated electrochemical imaging can contribute to improved medical diagnostics and environmental monitoring, as well as discoveries of new microbial populations.
• article_number: 9401471
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9401471
• html_url: https://ieeexplore.ieee.org/document/9401471/
• abstract_url: https://ieeexplore.ieee.org/document/9401471/
• publication_title: 2021 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Daegu, Korea
• conference_dates: 22-28 May 2021
• publication_number: 9401028
• is_number: 9401051
• publication_year: 2021
• publication_date: 22-28 May 2021
• start_page: 1
• end_page: 5
• citing_paper_count: 5
• citing_patent_count: 0
• download_count: 563
• insert_date: 20210427
• index_terms:
  • ieee_terms:
    • Semiconductor device measurement
    • Microorganisms
    • Algae
    • CMOS image sensors
    • Optical sensors
    • Spatial resolution
    • Sensor arrays
  • author_terms:
    • electrochemical
    • impedance
    • EIS
    • microorganism
    • algae
    • diatom
    • sensor array
    • CMOS
    • biosensor
    • single cell
  • dynamic_index_terms:
    • Array Images
    • Array Tomography
    • Electrochemical Imaging
    • Natural Environment
    • Sensor Array
    • Microbial Genetic
    • Electrode
    • Spatial Resolution
    • Unicellular
    • Electrochemical Impedance Spectroscopy
    • Fouling
    • Formation Of Deposits
    • Electrochemical Sensors
    • Sensor Surface
    • Cell Scale
    • Freshwater Algae
    • Freshwater Alga
    • Closterium
• isbn_formats:
  • format: Print ISBN, value: 978-1-7281-9201-7, isbnType: New-2005
• authors:
  • Author Name: Christopher E. Arcadia
    Affiliation: Brown University, Providence, RI, USA
    Author URL: https://ieeexplore.ieee.org/author/37086616752
    ID: 37086616752
    Order: 1
    Author Affiliations:
    • Brown University, Providence, RI, USA
  • Author Name: Kangping Hu
    Affiliation: Brown University, Providence, RI, USA
    Author URL: https://ieeexplore.ieee.org/author/37087111690
    ID: 37087111690
    Order: 2
    Author Affiliations:
    • Brown University, Providence, RI, USA
  • Author Name: Slava Epstein
    Affiliation: Northeastern University, Boston, MA, USA
    Author URL: https://ieeexplore.ieee.org/author/37088903450
    ID: 37088903450
    Order: 3
    Author Affiliations:
    • Northeastern University, Boston, MA, USA
  • Author Name: Meni Wanunu
    Affiliation: Northeastern University, Boston, MA, USA
    Author URL: https://ieeexplore.ieee.org/author/37088901291
    ID: 37088901291
    Order: 4
    Author Affiliations:
    • Northeastern University, Boston, MA, USA
  • Author Name: Aaron Adler
    Affiliation: BBN Technologies, Cambridge, MA, USA
    Author URL: https://ieeexplore.ieee.org/author/37076637700
    ID: 37076637700
    Order: 5
    Author Affiliations:
    • BBN Technologies, Cambridge, MA, USA
  • Author Name: Jacob K. Rosenstein
    Affiliation: Brown University, Providence, RI, USA
    Author URL: https://ieeexplore.ieee.org/author/37945044700
    ID: 37945044700
    Order: 6
    Author Affiliations:
    • Brown University, Providence, RI, USA

Image Sensor

• sensor_type: CMOS
• resolution: 131,072 pixels
• dynamic_range: Not specified
• pixel_size: 1 µm
• dark_current: Not specified

Optical Data

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

Performance Metrics

• frame_rate: 100 MHz

Applications & Benefits

• cell_imaging: Electrochemical imaging of microorganisms, monitoring of microbial growth in natural environments.
• benefits: Low cost and massive parallelism in biosensing applications.

Supporting Organizations

• supported_by: Defense Advanced Research Projects Agency (DARPA), National Science Foundation

Manuscript Details

• publication_date: 22-28 May 2021

Relevancy Score

• score: 10
• missing_fields:
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_2ce64901-bd31-4c11-a094-142b564049d0-cmos_electrochemical_imaging_arrays_for_the_detection_and_classification_of_microorganisms.json