Insertable 256256 Ion Image Sensor For Spatiotemporal Ph Recording

• doi: 10.1109/BIOCAS.2019.8918985
• title: Insertable 256×256 ion image sensor for spatiotemporal pH recording
• publisher: IEEE
• isbn: 978-1-5090-0618-2
• issn: 2163-4025
• rank: 2788
• access_type: LOCKED
• content_type: Conferences
• abstract: In vivo neural imaging devices are developed not only to record chronically but also to obtain the spatiotemporal information of neurochemical signals. Here, we present an image sensor consisting of a 256 × 256 pixel array and an integrated readout circuitry for a biomedical implantation application. The key idea of this sensor is that a higher resolution array than that of our previous insertable sensor realizes by employing two transistors in our pixel circuit. The proposed sensor architecture was fabricated by a modified 1P4M 0.15 μm CMOS process. This sensor was able to detect a hydrogen ion distribution change during the inserting test carried out at a brain-like object, and to reproduce the measured data into a two-dimensional (2D) image series in real-time.
• article_number: 8918985
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8918985
• html_url: https://ieeexplore.ieee.org/document/8918985/
• abstract_url: https://ieeexplore.ieee.org/document/8918985/
• publication_title: 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
• conference_location: Nara, Japan
• conference_dates: 17-19 Oct. 2019
• publication_number: 8910168
• is_number: 8918681
• publication_year: 2019
• publication_date: 17-19 Oct. 2019
• start_page: 1
• end_page: 4
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 142
• insert_date: 20191205
• index_terms:
  • ieee_terms:
    • Ions
    • Image sensors
    • Transistors
    • Robot sensing systems
    • Hydrogen
    • Spatiotemporal phenomena
  • author_terms:
    • Biosensor
    • Ion image sensor
    • High resolution microelectrode
    • Neural recording interface
    • Invasive imaging
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Biomedical Applications
    • Pixel Array
    • Neural Image
    • Sensory Systems
    • Single Pixel
    • Pixel Pitch
    • Threshold Voltage Shift
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-0618-2, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5090-0617-5, isbnType: New-2005
• authors:
  • Author Name: You-Na Lee
    Affiliation: Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Toyohashi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37085666164
    ID: 37085666164
    Order: 1
    Author Affiliations:
    • Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Toyohashi, Japan
  • Author Name: Yasuyuki Kimura
    Affiliation: Electronics-Inspired Interdisciplinary Research Institute (EIIRIS), Toyohashi University of Technology, Toyohashi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37086023263
    ID: 37086023263
    Order: 2
    Author Affiliations:
    • Electronics-Inspired Interdisciplinary Research Institute (EIIRIS), Toyohashi University of Technology, Toyohashi, Japan
  • Author Name: Yusuke Nakamura
    Affiliation: Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Toyohashi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37086161584
    ID: 37086161584
    Order: 3
    Author Affiliations:
    • Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Toyohashi, Japan
  • Author Name: Toshihiko Noda
    Affiliation: Electronics-Inspired Interdisciplinary Research Institute (EIIRIS), Toyohashi University of Technology, Toyohashi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37401924800
    ID: 37401924800
    Order: 4
    Author Affiliations:
    • Electronics-Inspired Interdisciplinary Research Institute (EIIRIS), Toyohashi University of Technology, Toyohashi, Japan
  • Author Name: Kazuhiro Takahashi
    Affiliation: Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Toyohashi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37290987200
    ID: 37290987200
    Order: 5
    Author Affiliations:
    • Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Toyohashi, Japan
  • Author Name: Kazuaki Sawada
    Affiliation: Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Toyohashi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37277567600
    ID: 37277567600
    Order: 6
    Author Affiliations:
    • Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, Toyohashi, Japan

Image Sensor

• sensor_type: CMOS
• resolution: 256 × 256 pixels
• dynamic_range: 0 V ~ 1.4 V
• pixel_size: 2 µm
• dark_current: Not specified in the paper

Optical Data

• focal_length: Not specified in the paper
• aperture: Not specified in the paper
• field_of_view: Not specified in the paper
• distortion: Not specified in the paper

Performance Metrics

• frame_rate: 30 fps
• signal_to_noise_ratio: Not specified in the paper
• sensitivity: Not specified in the paper
• shutter_speed: Not specified in the paper
• power_consumption: Not specified in the paper
• noise: Not specified in the paper

Applications & Benefits

• cell_imaging: The sensor can visualize spatial changes in pH distribution, useful for neural interfacing and biomedical applications.
• benefits: Enables real-time spatiotemporal pH recording and imaging during the insertion process of neural implants.

Supporting Organizations

• supported_by: JST CREST Grant Number JPMJCR14G2, Japan; Adaptable and Seamless Technology Transfer Program from Japan Science and Technology Agency, JST.

Manuscript Details

• publication_date: 17-19 Oct. 2019

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • temporal noise
  • fixed-pattern noise
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

request_46fc9cb3-bcee-4214-b526-ea2b1b06f95b-insertable_256256_ion_image_sensor_for_spatiotemporal_ph_recording.json