Noise Performance Of An Implantable Selfreset Cmos Image Sensor

• doi: 10.1109/IMFEDK.2014.6867073
• title: Noise performance of an implantable self-reset CMOS image sensor
• publisher: IEEE
• isbn: 978-1-4799-3614-4
• issn:
• rank: 3126
• access_type: LOCKED
• content_type: Conferences
• abstract: We developed and evaluated a miniaturized CMOS image sensor with self-reset function in order to improve signal-to-noise ratio (SNR) of an implantable imaging device. The sensor is capable to image under high intensity illumination where the peak SNR determined by the shot-noise is increased. The pixel size is 15-μm square, which is as small as neural cells and acceptable for implantable image sensor. With illumination of 1.7 × 10-3 W/cm2, and a frame rate of approximately 230 fps, SNR over 60 dB was achieved.
• article_number: 6867073
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6867073
• html_url: https://ieeexplore.ieee.org/document/6867073/
• abstract_url: https://ieeexplore.ieee.org/document/6867073/
• publication_title: 2014 IEEE International Meeting for Future of Electron Devices, Kansai (IMFEDK)
• conference_location: Kyoto, Japan
• conference_dates: 19-20 June 2014
• publication_number: 6862741
• is_number: 6867036
• publication_year: 2014
• publication_date: 19-20 June 2014
• start_page: 1
• end_page: 2
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 193
• insert_date: 20140731
• index_terms:
  • ieee_terms:
    • Signal to noise ratio
    • Fluorescence
    • CMOS image sensors
    • Brain
    • Noise level
  • author_terms:
    • CMOS image sensor
    • neural activity imaging
    • fluorescent observation
    • high SNR sensor
    • self-reset
    • in vivo implantation
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Implantable Sensors
    • Neurons
    • Signal-to-noise
    • Signal-to-noise Ratio
    • Peak Signal-to-noise Ratio
    • PSNR
    • Shot Noise
    • Poisson Noise
    • High-resolution
    • Square Root
    • Light Intensity
    • Brain Activity
    • Fluorescence Changes
    • High Signal-to-noise Ratio
    • Saturated Pixels
    • Sensor Pixel
• isbn_formats:
  • format: Print ISBN, value: 978-1-4799-3614-4, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4799-3615-1, isbnType: New-2005
• authors:
  • Author Name: Takahiro Yamaguchi
    Affiliation: Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/37085457733
    ID: 37085457733
    Order: 1
    Author Affiliations:
    • Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
  • Author Name: Yoshinori Sunaga
    Affiliation: Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/37446163100
    ID: 37446163100
    Order: 2
    Author Affiliations:
    • Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
  • Author Name: Makito Haruta
    Affiliation: Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/38246962800
    ID: 38246962800
    Order: 3
    Author Affiliations:
    • Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
  • Author Name: Toshihiko Noda
    Affiliation: Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/37401924800
    ID: 37401924800
    Order: 4
    Author Affiliations:
    • Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
  • Author Name: Kiyotaka Sasagawa
    Affiliation: Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/37287324600
    ID: 37287324600
    Order: 5
    Author Affiliations:
    • Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
  • Author Name: Takashi Tokuda
    Affiliation: Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/37278027500
    ID: 37278027500
    Order: 6
    Author Affiliations:
    • Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
  • Author Name: Jun Ohta
    Affiliation: Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/37278016600
    ID: 37278016600
    Order: 7
    Author Affiliations:
    • Graduate School of Materials Science, Nara Institute of Science and Technology, Ikoma, Nara, Japan

Image Sensor

• sensor_type: CMOS
• resolution: 60 x 134 pixels (pixel number)
• dynamic_range: >60 dB
• pixel_size: 15 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: 230 fps
• signal_to_noise_ratio: >60 dB

Applications & Benefits

• cell_imaging: Implantable imaging device for neural activity imaging, enabling real-time imaging of brain activity and fluorescence changes.
• benefits: High signal-to-noise ratio and frame rate, suitable for measuring rapid fluorescence changes in brain activity.

Supporting Organizations

• supported_by: Semiconductor Technology Academic Research Center (STARC)

Manuscript Details

• publication_date: 19-20 June 2014

Relevancy Score

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

Processed JSON Filename

request_12c4f892-c086-47f3-a6c1-43e24eb5dda2-noise_performance_of_an_implantable_selfreset_cmos_image_sensor.json