Contacting Biological Cells With Electronic Circuits

• doi: 10.1109/ASYNC.2004.1299292
• title: Contacting biological cells with electronic circuits
• publisher: IEEE
• isbn: 0-7695-2133-9
• issn: 1522-8681
• rank: 2000
• access_type: LOCKED
• content_type: Conferences
• abstract: Information processing in real biological neuronal networks differs in many aspects from information processing in electronic circuits. Though information is represented in both systems by electrical signals, charge carriers on the biological side are ions while electrons transmit electrical current in the silicon-based microelectronic world. In order to bridge this fundamental gap, several methods has been used during the last decades that provide electrical access to neuronal tissue. This talk first discuss the properties of the most prominent methods such as long-term stability, temporal and spatial resolution as well as the number of contacts. Technical limitations of these techniques still prevent deeper insight into biological neuronal networks. It is explained how typical properties of CMOS fabrication like surface planarity or large scale integration can improve common contact techniques. Presenting the most recent chip development in this field, it is demonstrated how CMOS chips can be used as a substrate for neuronal cell cultures while sensing the electrical activity in a non-invasive mode. CMOS processing allows electronic circuits to be integrated under the sensor surface. These active sensor pixels are the basis for dense, large sensor arrays which allow electrical imaging of complex neural networks with sub-cellular resolution. The emerging applications of these sensor devices deliver insight into biological information processing thus providing a basis for future man-machine interfaces like implants or prostheses. Summary form only given.
• article_number: 1299292
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1299292
• html_url: https://ieeexplore.ieee.org/document/1299292/
• abstract_url: https://ieeexplore.ieee.org/document/1299292/
• publication_title: 10th International Symposium on Asynchronous Circuits and Systems, 2004. Proceedings.
• conference_location: Crete, Greece
• conference_dates: 19-23 April 2004
• publication_number: 9094
• is_number: 28866
• publication_year: 2004
• publication_date: 19-23 April 2004
• start_page: 109
• end_page:
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 127
• insert_date: 20040518
• index_terms:
  • ieee_terms:
    • Biological cells
    • Electronic circuits
    • Biosensors
    • Sensor arrays
    • Contacts
    • Information processing
    • Biological neural networks
    • CMOS image sensors
    • Image sensors
    • Charge carriers
  • dynamic_index_terms:
    • Electronic Circuits
    • Electronic Circuitry
    • Information Processing
    • Charge Carriers
    • Large-scale Integration
• isbn_formats:
  • format: Print ISBN, value: 0-7695-2133-9, isbnType: Historical
• authors:
  • Author Name: M. Jenkner
    Affiliation: Infineon Technologies Austria AG, Austria
    Author URL: https://ieeexplore.ieee.org/author/37275655000
    ID: 37275655000
    Order: 1
    Author Affiliations:
    • Infineon Technologies Austria AG, Austria

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

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

Performance Metrics

Applications & Benefits

• cell_imaging: CMOS sensors can be used for cell imaging applications and non-invasive sensing of electrical activity in neuronal cell cultures.
• benefits: CMOS processing allows integration with electronic circuits for advanced sensor capabilities.

Supporting Organizations

• supported_by: Infineon Technologies

Manuscript Details

• publication_date: 19-23 April 2004

Relevancy Score

• score: 8
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_bf1cad60-02c7-4094-b0ed-e34bc40c69fc-contacting_biological_cells_with_electronic_circuits.json