Yield Analysis For A Largearea Analog Xray Sensor Array
- doi: 10.1109/UGIM.1991.148140
-
title: Yield analysis for a large-area analog X-ray
sensor array
- publisher: IEEE
- isbn: 0-7803-0109-9
- issn: 0749-6877
- rank: 4029
- access_type: LOCKED
- content_type: Conferences
-
abstract: A small-scale CMOS-based radiographic X-ray
image sensor array has been developed for nondestructive test and
medical imaging. The authors present an analysis of tradeoffs between
yield and area of a scaled up large-area X-ray sensor design. The X-ray
sensor array can tolerate a low level of faults in the individual pixel
cells and these faults can be corrected by imaging software. However,
global signal line faults cause X-ray sensor failures. This work models
X-ray sensor yield in a 12-layer analog CMOS process for three possible
overall defect densities, 1.5 defects/cm, 1.0 defects/cm, and 0.75
defects/cm. It is shown that the X-ray sensor is more manufacturable
than a charge coupled device (CCD) array of the same area.<>
- article_number: 148140
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=148140
-
html_url:
https://ieeexplore.ieee.org/document/148140/
-
abstract_url:
https://ieeexplore.ieee.org/document/148140/
-
publication_title: Proceedings Ninth Biennial
University/Government/Industry Microelectronics Symposium
- conference_location: Melbourne, FL, USA
- conference_dates: 12-14 June 1991
- publication_number: 572
- is_number: 3924
- publication_year: 1991
- publication_date: 12-14 June 1991
- start_page: 149
- end_page: 152
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 55
- insert_date: 20020806
-
index_terms:
-
ieee_terms:
- Sensor arrays
- X-ray imaging
- Image sensors
- Radiography
- Medical tests
- Nondestructive testing
- Biomedical imaging
- Pixel
- Optical imaging
- Semiconductor device modeling
-
dynamic_index_terms:
- Sensor Array
- X-ray Sensor
- Medical Imaging
- Clinical Imaging
- Diagnostic Imaging
- CCD Camera
- Charge-coupled Device
- Defect Density
- Poisson Distribution
- Poissonian
- Yield Losses
- Metal Layer
- Fault Location
- Local Defects
- Critical Areas
- Defect Size
- Yield Estimation
- Output Estimation
- Distribution Of Defects
- Distribution Of Faults
- Defect Rate
- Fault Rate
- Sensor Area
- Physical Layout
- Peripheral Circuits
- Grounding Line
- Metal Lines
- Defect Clusters
- Electrically Short
- Electrical Short Circuit
-
isbn_formats:
-
format: Print ISBN,
value: 0-7803-0109-9,
isbnType: Historical
-
authors:
-
Author Name: W.R. Einsenstadt
Affiliation: Dept. of Electr. Eng., Florida Univ.,
Gainesville, FL, USA
Author URL:
https://ieeexplore.ieee.org/author/37086973052
ID: 37086973052
Order: 1
Author Affiliations:
-
Dept. of Electr. Eng., Florida Univ., Gainesville, FL, USA
-
Author Name: S.S. Potluri
Affiliation: Department of Electrical Engineering,
University of Florida, Gainesville, FL, USA
Author URL:
https://ieeexplore.ieee.org/author/38227295500
ID: 38227295500
Order: 2
Author Affiliations:
-
Department of Electrical Engineering, University of Florida,
Gainesville, FL, USA
-
Author Name: K.J. Rambo
Affiliation: Department of Electrical Engineering,
University of Florida, Gainesville, FL, USA
Author URL:
https://ieeexplore.ieee.org/author/37271770700
ID: 37271770700
Order: 3
Author Affiliations:
-
Department of Electrical Engineering, University of Florida,
Gainesville, FL, USA
-
Author Name: R.M. Fox
Affiliation: Department of Electrical Engineering,
University of Florida, Gainesville, FL, USA
Author URL:
https://ieeexplore.ieee.org/author/37270187500
ID: 37270187500
Order: 4
Author Affiliations:
-
Department of Electrical Engineering, University of Florida,
Gainesville, FL, USA
Image Sensor
- sensor_type: CMOS
- resolution: Not specified
- 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
-
noise: Includes temporal noise and fixed-pattern noise.
Applications & Benefits
-
cell_imaging: Used in medical devices for imaging
applications.
-
benefits: Enable digital imaging in a variety of
applications such as smartphones, medical devices, and automotive
systems.
Supporting Organizations
- supported_by: Not specified
Manuscript Details
- publication_date: 12-14 June 1991
Relevancy Score
- score: 8
-
missing_fields:
- resolution
- dynamic_range
- pixel_size
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- supported_by
- publication_date
- authors
Processed JSON Filename
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