Roic Design For A 10K Pixel Photoresistive Image Sensor With Onchip
Calibration
- doi: 10.1109/NGCAS.2017.69
-
title: ROIC Design for a 10k Pixel Photoresistive Image
Sensor with On-Chip Calibration
- publisher: IEEE
- isbn: 978-1-5090-6448-9
- issn:
- rank: 3351
- access_type: LOCKED
- content_type: Conferences
-
abstract: This paper describes a novel readout
integrated circuit (ROIC) for a photoresistive image sensor array
incorporating Wheatstone bridge configuration with a variable-gain
switched-capacitor amplifier. A 12-bit R-2R ladder digital-to-analog
converter (DAC) and a variable-gain switched capacitor amplifier are
used for on-chip offset and gain calibration. The bias voltage of the
bridge is supplied by an on-chip DAC and made programmable between 0 to
1.8 Volts for ROIC performance optimization. This image sensor and ROIC
system is intended to be used as an endoscope camera which demands
strict silicon area and low power consumption requirements. A sample
1x16 line sensor is used for proof of concept. The ROIC is designed for
the target of 30 frames per second output data rate for a 100x100
sensor. This work focuses on the analog signal processing chain of the
ROIC. The nominal (base) resistance of each detector is assumed to have
a variation of (+-10%). The proposed ROIC is designed in 0.18 um CMOS
process. Effectiveness of the calibration method is demonstrated with
post-layout simulations performed on 6 PVT corners.
- article_number: 8052280
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8052280
-
html_url:
https://ieeexplore.ieee.org/document/8052280/
-
abstract_url:
https://ieeexplore.ieee.org/document/8052280/
-
publication_title: 2017 New Generation of CAS (NGCAS)
- conference_location: Genova, Italy
- conference_dates: 6-9 Sept. 2017
- publication_number: 8049744
- is_number: 8051419
- publication_year: 2017
- publication_date: 6-9 Sept. 2017
- start_page: 105
- end_page: 108
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 278
- insert_date: 20170928
-
index_terms:
-
ieee_terms:
- Calibration
- Bridge circuits
- Detectors
- Image sensors
- Capacitors
- Logic gates
- Switches
-
dynamic_index_terms:
- Image Sensor
- Camera Sensor
- Readout Integrated Circuit
- On-chip Calibration
- Analog-to-digital Converter
- Analog-to-digital
- Digital-to-analog Converter
- Sensor Array
- Silicon Area
- Wheatstone Bridge
- Dark-field
- Dark-field Microscopy
- CMOS Technology
- Calibration Phase
- Flat Field
- Flat-field Correction
- Common-mode Voltage
- Field Calibration
- Readout Method
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 978-1-5090-6448-9,
isbnType: New-2005
-
format: USB ISBN,
value: 978-1-5090-6446-5,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-5090-6447-2,
isbnType: New-2005
-
authors:
-
Author Name: Cagatay Ozmen
Affiliation: Electrical and Computer Engineering
University of Massachusetts, Lowell, Lowell, Massachusetts
Author URL:
https://ieeexplore.ieee.org/author/37085664148
ID: 37085664148
Order: 1
Author Affiliations:
-
Electrical and Computer Engineering University of Massachusetts,
Lowell, Lowell, Massachusetts
-
Author Name: Aydin Dirican
Affiliation: Electrical and Computer Engineering
University of Massachusetts, Lowell, Lowell, Massachusetts
Author URL:
https://ieeexplore.ieee.org/author/37085671150
ID: 37085671150
Order: 2
Author Affiliations:
-
Electrical and Computer Engineering University of Massachusetts,
Lowell, Lowell, Massachusetts
-
Author Name: Hieu Nguyen
Affiliation: Electrical and Computer Engineering
University of Massachusetts, Lowell, Lowell, Massachusetts
Author URL:
https://ieeexplore.ieee.org/author/37085665354
ID: 37085665354
Order: 3
Author Affiliations:
-
Electrical and Computer Engineering University of Massachusetts,
Lowell, Lowell, Massachusetts
-
Author Name: Martin Margala
Affiliation: Electrical and Computer Engineering
University of Massachusetts, Lowell, Lowell, Massachusetts
Author URL:
https://ieeexplore.ieee.org/author/37271535300
ID: 37271535300
Order: 4
Author Affiliations:
-
Electrical and Computer Engineering University of Massachusetts,
Lowell, Lowell, Massachusetts
Image Sensor
- sensor_type: Photoresistive Detector
- resolution: 100x100 pixels (target)
- dynamic_range: not specified
- pixel_size: not specified
- 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: 30 fps (target)
- power_consumption: 250μA (total ROIC)
Applications & Benefits
- cell_imaging: Endoscope camera
-
benefits: Enables low-power, high-performance operation
with on-chip calibration.
Supporting Organizations
-
supported_by: University of Massachusetts, Lowell
Manuscript Details
- publication_date: 6-9 Sept. 2017
Relevancy Score
- score: 9
-
missing_fields:
- fill_factor
- quantum_efficiency
- readout_speed
- noise_sources
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