Mouse Brain Imaging Using A Selfreset Cmos Image Sensor Over 70Db Snr

• doi: 10.1109/MWSCAS54063.2022.9859511
• title: Mouse Brain Imaging Using a Self-Reset CMOS Image Sensor over 70-dB SNR
• publisher: IEEE
• isbn: 978-1-6654-0280-4
• issn: 1548-3746
• rank: 3059
• access_type: LOCKED
• content_type: Conferences
• abstract: An implantable CMOS image sensor is a device that can be attached or inserted into a tissue in the living body and can measure brain function under free moving conditions [1] –[3]. It has been used for intrinsic measurement of blood flow in bright-field observation, and fluorescence imaging.
• article_number: 9859511
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9859511
• html_url: https://ieeexplore.ieee.org/document/9859511/
• abstract_url: https://ieeexplore.ieee.org/document/9859511/
• publication_title: 2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)
• conference_location: Fukuoka, Japan
• conference_dates: 7-10 Aug. 2022
• publication_number: 9859262
• is_number: 9859267
• publication_year: 2022
• publication_date: 7-10 Aug. 2022
• start_page: 1
• end_page: 2
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 82
• insert_date: 20220822
• index_terms:
  • ieee_terms:
    • Neuroimaging
    • Circuits and systems
    • Image processing
    • Imaging
    • CMOS image sensors
    • Signal processing
    • Fluorescence
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Mouse Brain Imaging
    • Measures Of Brain Function
    • Implantable Sensors
    • Light Intensity
    • Amount Of Light
    • Light Quantity
    • High SNR
    • High SNRs
    • Sensor Pixel
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-6654-0280-4, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-6654-0279-8, isbnType: New-2005
• authors:
  • Author Name: Kiyotaka Sasagawa
    Affiliation: Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/37287324600
    ID: 37287324600
    Order: 1
    Author Affiliations:
    • Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
  • Author Name: Pakpuwadon Thanet
    Affiliation: Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/37089497439
    ID: 37089497439
    Order: 2
    Author Affiliations:
    • Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
  • Author Name: Mark Christian Guinto
    Affiliation: Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/37088972650
    ID: 37088972650
    Order: 3
    Author Affiliations:
    • Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
  • Author Name: Yasumi Ohta
    Affiliation: Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/38548426000
    ID: 38548426000
    Order: 4
    Author Affiliations:
    • Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
  • Author Name: Makito Haruta
    Affiliation: Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/38246962800
    ID: 38246962800
    Order: 5
    Author Affiliations:
    • Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
  • Author Name: Hironari Takehara
    Affiliation: Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/37074521600
    ID: 37074521600
    Order: 6
    Author Affiliations:
    • Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
  • Author Name: Hiroyuki Tashiro
    Affiliation: Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/38231051200
    ID: 38231051200
    Order: 7
    Author Affiliations:
    • Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
    • Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Japan
  • Author Name: Jun Ohta
    Affiliation: Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan
    Author URL: https://ieeexplore.ieee.org/author/37278016600
    ID: 37278016600
    Order: 8
    Author Affiliations:
    • Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama Ikoma, Nara, Japan

Image Sensor

• sensor_type: CMOS
• resolution: 128x128
• dynamic_range: 70 dB
• pixel_size: 15 μm x 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

• signal_to_noise_ratio: 70 dB

Applications & Benefits

• cell_imaging: Used for intrinsic imaging and blood-flow measurements in living tissues.
• benefits: High effective SNR allows for real-time imaging in vivo.

Supporting Organizations

• supported_by: Nara Institute of Science and Technology, Kyushu University

Manuscript Details

• publication_date: 7-10 Aug. 2022

Relevancy Score

• score: 9
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

request_2ac0b619-6bf2-46de-8c78-be52b3124c5a-mouse_brain_imaging_using_a_selfreset_cmos_image_sensor_over_70db_snr.json