Fabrication Of Cmos Sucrose Image Sensor To Visualize Photosynthetic Products In Plants

• doi: 10.1109/SENSORS56945.2023.10325303
• title: Fabrication of CMOS Sucrose Image Sensor to Visualize Photosynthetic Products in Plants
• publisher: IEEE
• isbn: 979-8-3503-0388-9
• issn: 1930-0395
• rank: 2473
• access_type: LOCKED
• content_type: Conferences
• abstract: Sucrose plays a crucial role in plant physiology and is increasingly gaining popularity in the acquisition of information on plant growth. A CMOS sucrose image sensor with a 30 $\mu \mathrm{m}$ -pitch and 256 $\times 256$ pixels was fabricated based on redox sensing using the enzymatic method. We successfully obtained sucrose diffusion images associated with crystal dissolution, and the sensitivity was 21.5 $\text{mV}/\text{dec}$ in the range of $10^{-3}\mathrm{M}$ to 10−1 M. Functional validation of sucrose imaging of plant samples was also performed. When the sliced stem of the tomato was placed onto the sensor, the output image of the sensor significantly altered within the stem slice, and the sucrose distribution in vascular bundles was distinctly visible. This study is the first of its kind to report real-time imaging of sucrose in the sliced-tomato stem.
• article_number: 10325303
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10325303
• html_url: https://ieeexplore.ieee.org/document/10325303/
• abstract_url: https://ieeexplore.ieee.org/document/10325303/
• publication_title: 2023 IEEE SENSORS
• conference_location: Vienna, Austria
• conference_dates: 29 Oct.-1 Nov. 2023
• publication_number: 10324456
• is_number: 10324848
• publication_year: 2023
• publication_date: 29 Oct.-1 Nov. 2023
• start_page: 1
• end_page: 2
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 92
• insert_date: 20231128
• index_terms:
  • ieee_terms:
    • Image sensors
    • Visualization
    • Sensitivity
    • Crystals
    • Redox
    • Real-time systems
    • Physiology
  • author_terms:
    • bioimaging
    • agricultural sensors
    • CMOS potentiometric sensor array
    • enzyme
    • sucrose imaging
    • in-plant measurement
    • photosynthetic product
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Plant Growth
    • Enzymatic Method
    • Plant Physiology
    • Plant Biochemistry
    • Diffusion Imaging
    • Dissolution Of Crystals
    • Role In Plant Physiology
    • Horseradish Peroxidase
    • Optical Tomography
    • Optical Imaging
    • Redox Reactions
    • Surface Potential
    • Internode
    • Plant Stem
    • Sucrose Content
    • Sensor Response
    • Invertase
    • Sucrase
    • Sensor Array
    • Precision Agriculture
    • Smart Farming
    • Smart Agriculture
    • Precision Farming
    • Sensor Output
    • Plant Body
    • High Sucrose Content
    • Electron Mediator
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 979-8-3503-0388-9, isbnType: New-2005
  • format: Electronic ISBN, value: 979-8-3503-0387-2, isbnType: New-2005
• authors:
  • Author Name: Yusuke Matsushita
    Affiliation: Toyohashi University of Technology, Aichi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37090095539
    ID: 37090095539
    Order: 1
    Author Affiliations:
    • Toyohashi University of Technology, Aichi, Japan
  • Author Name: Taichi Yoshida
    Affiliation: Toyohashi University of Technology, Aichi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37085633294
    ID: 37085633294
    Order: 2
    Author Affiliations:
    • Toyohashi University of Technology, Aichi, Japan
  • Author Name: Hideo Doi
    Affiliation: Toyohashi University of Technology, Aichi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37085338048
    ID: 37085338048
    Order: 3
    Author Affiliations:
    • Toyohashi University of Technology, Aichi, Japan
  • Author Name: Yong-Joon Choi
    Affiliation: Toyohashi University of Technology, Aichi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37090096485
    ID: 37090096485
    Order: 4
    Author Affiliations:
    • Toyohashi University of Technology, Aichi, Japan
  • Author Name: Kazuhiro Takahashi
    Affiliation: Toyohashi University of Technology, Aichi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37290987200
    ID: 37290987200
    Order: 5
    Author Affiliations:
    • Toyohashi University of Technology, Aichi, Japan
  • Author Name: Kotaro Takayama
    Affiliation: Toyohashi University of Technology, Aichi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37090096522
    ID: 37090096522
    Order: 6
    Author Affiliations:
    • Toyohashi University of Technology, Aichi, Japan
  • Author Name: Kazuaki Sawada
    Affiliation: Toyohashi University of Technology, Aichi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37277567600
    ID: 37277567600
    Order: 7
    Author Affiliations:
    • Toyohashi University of Technology, Aichi, Japan
  • Author Name: Toshihiko Noda
    Affiliation: Toyohashi University of Technology, Aichi, Japan
    Author URL: https://ieeexplore.ieee.org/author/37401924800
    ID: 37401924800
    Order: 8
    Author Affiliations:
    • Toyohashi University of Technology, Aichi, Japan

Image Sensor

• sensor_type: CMOS
• resolution: 256 x 256 pixels
• dynamic_range: Not specified
• pixel_size: 30 µm
• dark_current: Not specified

Optical Data

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

Performance Metrics

• sensitivity: 21.5 mV/dec
• noise: Approximately 5 mV

Applications & Benefits

• cell_imaging: Visualization of sucrose distribution in plant stems; Real-time imaging of sucrose concentration.
• benefits: Allows for advanced agricultural management, enables insights into sugar translocation within plants.

Supporting Organizations

• supported_by: MEXT X-NICS JPJ011438, JST-OPERA JPMJOP1834, JSPS Grants-in-Aid for Scientific Research Grant number 21H01390 and 22K19177.

Manuscript Details

• publication_date: 29 Oct.-1 Nov. 2023

Relevancy Score

• score: 10
• missing_fields:
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • shutter_speed
  • power_consumption

Processed JSON Filename

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