An Optical And Potential Dualimage Cmos Sensor For Onchip Neural And Dna
Imaging Applications
- doi: 10.1109/ISCAS.2006.1692788
-
title: An optical and potential dual-image CMOS sensor
for on-chip neural and DNA imaging applications
- publisher: IEEE
- isbn: 0-7803-9389-9
- issn: 2158-1525
- partnum: 06CH37717C
- rank: 1596
- access_type: LOCKED
- content_type: Conferences
-
abstract: A CMOS image sensor which is capable to
simultaneously sense an optical and an op-chip potential image was
designed and fabricated. The sensor was designed with target
applications to sense neural activities and DNA spots in on-chip
configuration. We designed compatibly configured light sensing pixel and
potential sensing pixel. The pixel size is 7.5 mum. A QCIF (176 times
144) dual image sensor was fabricated and characterized. The basic
characteristics of the potential sensing pixel are discussed and dual
imaging functions are demonstrated
- article_number: 1692788
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1692788
-
html_url:
https://ieeexplore.ieee.org/document/1692788/
-
abstract_url:
https://ieeexplore.ieee.org/document/1692788/
-
publication_title: 2006 IEEE International Symposium on
Circuits and Systems
- conference_location: Kos, Greece
- conference_dates: 21-24 May 2006
- publication_number: 11145
- is_number: 35661
- publication_year: 2006
- publication_date: 21-24 May 2006
- start_page: 4 pp.
- end_page:
- citing_paper_count: 2
- citing_patent_count: 1
- download_count: 113
- insert_date: 20060911
-
index_terms:
-
ieee_terms:
- Optical sensors
- CMOS image sensors
- DNA
- Optical imaging
- Image sensors
- Biomedical optical imaging
- Optical filters
- Fluorescence
- Pixel
- Sensor phenomena and characterization
-
dynamic_index_terms:
- Optical Sensors
- Potential Sensor
- Neural Image
- On-chip Applications
- Neural Activity
- Image Sensor
- Camera Sensor
- Dual Imaging
- Neurons
- Optical Tomography
- Optical Imaging
- Circuitry
- DNA Hybridization
- Sensor Surface
- Sensor Characteristics
- Sensor Features
- Least Significant Bit
- Low Bit
- Sensor Pixel
-
isbn_formats:
-
format: Print ISBN,
value: 0-7803-9389-9,
isbnType: Historical
-
authors:
-
Author Name: T. Tokuda
Affiliation: Graduate School of Materials Science,
Nara Institute of Science and Technology, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/37278027500
ID: 37278027500
Order: 1
Author Affiliations:
-
Graduate School of Materials Science, Nara Institute of Science
and Technology, Nara, Japan
-
Author Name: D.C. Ng
Affiliation: Graduate School of Materials Science,
Nara Institute of Science and Technology, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/37278114700
ID: 37278114700
Order: 2
Author Affiliations:
-
Graduate School of Materials Science, Nara Institute of Science
and Technology, Nara, Japan
-
Author Name: A. Yamamoto
Affiliation: Graduate School of Materials Science,
Nara Institute of Science and Technology, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/38043315300
ID: 38043315300
Order: 3
Author Affiliations:
-
Graduate School of Materials Science, Nara Institute of Science
and Technology, Nara, Japan
-
Author Name: K. Kagawa
Affiliation: Graduate School of Materials Science,
Nara Institute of Science and Technology, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/37278023200
ID: 37278023200
Order: 4
Author Affiliations:
-
Graduate School of Materials Science, Nara Institute of Science
and Technology, Nara, Japan
-
Author Name: M. Nunoshita
Affiliation: Graduate School of Materials Science,
Nara Institute of Science and Technology, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/37278019400
ID: 37278019400
Order: 5
Author Affiliations:
-
Graduate School of Materials Science, Nara Institute of Science
and Technology, Nara, Japan
-
Author Name: J. Ohta
Affiliation: Graduate School of Materials Science,
Nara Institute of Science and Technology, Nara, Japan
Author URL:
https://ieeexplore.ieee.org/author/37278016600
ID: 37278016600
Order: 6
Author Affiliations:
-
Graduate School of Materials Science, Nara Institute of Science
and Technology, Nara, Japan
Image Sensor
- sensor_type: CMOS
- resolution: QCIF (176x144)
- dynamic_range: Not specified
- pixel_size: 7.5 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: 1-20 fps
- sensitivity: 1.6 mV
- noise: Less than 1 least significant bit (LSB)
Applications & Benefits
-
cell_imaging: On-chip neural activities and DNA
microarray sensing.
-
benefits: Simultaneous sensing of optical and potential
images.
Supporting Organizations
-
supported_by: Semi-conductor Technology Academic
Research Center, Ministry of Education, Sports, Science, and Technology
(Grants #16360175, #16650108)
Manuscript Details
- publication_date: 21-24 May 2006
Relevancy Score
- score: 10
-
missing_fields:
- quantum_efficiency
- fill_factor
- readout_speed
- noise_sources
- analog_to_digital_conversion_techniques
- microlenses
- on_chip_colour_filters
- global_or_rolling_shutters
- backside_illumination
Processed JSON Filename
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