Needletype 5 Mumathrmm Pixel Pitch Phimage Sensor And Imaging Of Proton Emissions In The Cerebral Cortex

• doi: 10.1109/Transducers50396.2021.9495573
• title: Needle-Type $5\ \mu\mathrm{m}$ Pixel Pitch pH-Image Sensor and Imaging of Proton Emissions in the Cerebral Cortex
• publisher: IEEE
• isbn: 978-1-6654-4845-1
• issn: 2167-0013
• rank: 3094
• access_type: LOCKED
• content_type: Conferences
• abstract: We developed a $256\times 32$-pixel needle-type pH image sensor to visualize ion behavior at the cellular level under in vivo conditions. This sensor has a pixel configuration that can be fabricated via a modified CMOS process technology, and it achieved a pixel size of $5.65\times 4.39\ \mu \mathrm{m}^{2}$. The proposed image sensor is the highest-definition implantable ion image sensor among other conventional image sensors. For in vivo implantation, the sensor's shape was modified to a needle structure of $9.88\times 1.10\ \text{mm}^{2}$ with a thickness of $100\ \mu \mathrm{m}$. From the measurement results, we verified that the sensor exhibits a high spatiotemporal resolution with a pH sensitivity, pH resolution, and temporal resolution of 56.4 mV/pH, 0.015 pH, and 14.1 fps, respectively. In addition, we detected pH changes in the brain of the experimented mouse during neural hyperexcitation, and successfully reproduced the measured data as 2-D images in real time.
• article_number: 9495573
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9495573
• html_url: https://ieeexplore.ieee.org/document/9495573/
• abstract_url: https://ieeexplore.ieee.org/document/9495573/
• publication_title: 2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers)
• conference_location: Orlando, FL, USA
• conference_dates: 20-24 June 2021
• publication_number: 9495312
• is_number: 9495375
• publication_year: 2021
• publication_date: 20-24 June 2021
• start_page: 271
• end_page: 274
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 121
• insert_date: 20210806
• index_terms:
  • ieee_terms:
    • Image sensors
    • Weight measurement
    • In vivo
    • Image resolution
    • Sensitivity
    • Transducers
    • Ions
  • author_terms:
    • pH sensor
    • Chemical sensor
    • Image sensor
    • In-vivo application
    • Needle type sensor
    • High density
  • dynamic_index_terms:
    • High-resolution
    • Mouse Brain
    • Brains Of Mice
    • pH Changes
    • Brain Changes
    • Image Sensor
    • Camera Sensor
    • pH Sensitivity
    • Implantable Sensors
    • Neurons
    • Magnetic Resonance Imaging
    • Standard Solution
    • Neural Activity
    • Measurement System
    • Field-effect Transistors
    • Sensor Chip
    • Single Pixel
    • Charge Injection
    • Gabazine
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-6654-4845-1, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-6654-1267-4, isbnType: New-2005
• authors:
  • Author Name: Kotaro Sakamoto
    Affiliation: Toyohashi University of Technology, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37088930043
    ID: 37088930043
    Order: 1
    Author Affiliations:
    • Toyohashi University of Technology, JAPAN
  • Author Name: Mai Madokoro
    Affiliation: Toyohashi University of Technology, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37088929722
    ID: 37088929722
    Order: 2
    Author Affiliations:
    • Toyohashi University of Technology, JAPAN
  • Author Name: Hiroshi Horiuchi
    Affiliation: National Institute for Physiological Sciences, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37086163270
    ID: 37086163270
    Order: 3
    Author Affiliations:
    • National Institute for Physiological Sciences, JAPAN
  • Author Name: Junko Ishida
    Affiliation: National Institute for Physiological Sciences, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37088928913
    ID: 37088928913
    Order: 4
    Author Affiliations:
    • National Institute for Physiological Sciences, JAPAN
  • Author Name: Tomoko Horio
    Affiliation: Toyohashi University of Technology, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37085337801
    ID: 37085337801
    Order: 5
    Author Affiliations:
    • Toyohashi University of Technology, JAPAN
  • Author Name: Yasuyuki Kimura
    Affiliation: Toyohashi University of Technology, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37086023263
    ID: 37086023263
    Order: 6
    Author Affiliations:
    • Toyohashi University of Technology, JAPAN
  • Author Name: Takeshi Hizawa
    Affiliation: Toyohashi University of Technology, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37295977000
    ID: 37295977000
    Order: 7
    Author Affiliations:
    • Toyohashi University of Technology, JAPAN
  • Author Name: Yong-Joon Choi
    Affiliation: Toyohashi University of Technology, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37086023055
    ID: 37086023055
    Order: 8
    Author Affiliations:
    • Toyohashi University of Technology, JAPAN
  • Author Name: Kazuhiro Takahashi
    Affiliation: Toyohashi University of Technology, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37290987200
    ID: 37290987200
    Order: 9
    Author Affiliations:
    • Toyohashi University of Technology, JAPAN
  • Author Name: Toshihiko Noda
    Affiliation: Toyohashi University of Technology, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37401924800
    ID: 37401924800
    Order: 10
    Author Affiliations:
    • Toyohashi University of Technology, JAPAN
  • Author Name: Junichi Nabekura
    Affiliation: National Institute for Physiological Sciences, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37086159213
    ID: 37086159213
    Order: 11
    Author Affiliations:
    • National Institute for Physiological Sciences, JAPAN
  • Author Name: Kazuaki Sawada
    Affiliation: Toyohashi University of Technology, JAPAN
    Author URL: https://ieeexplore.ieee.org/author/37277567600
    ID: 37277567600
    Order: 12
    Author Affiliations:
    • Toyohashi University of Technology, JAPAN

Image Sensor

• sensor_type: CMOS
• resolution: 256x32 pixels
• dynamic_range: Not specified
• pixel_size: 5.65x4.39 µm²
• 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: 14.1 fps
• noise: 0.846 mV

Applications & Benefits

• cell_imaging: In vivo imaging of pH distribution in the brain during neural excitation.
• benefits: High spatiotemporal resolution, ability to capture rapid pH changes in the brain.

Supporting Organizations

• supported_by: Japan Science and Technology Agency, JST.

Manuscript Details

• publication_date: 20-24 June 2021

Relevancy Score

• score: 10

Processed JSON Filename

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