Portable Imagebased Detection System For Upconverting Phosphor Immune
Lateral Flow Assay
- doi:
-
title: Portable image-based detection system for
Upconverting phosphor immune lateral flow assay
- publisher: VDE
- isbn: 978-3-8007-5026-9
- issn:
- rank: 3294
- access_type: LOCKED
- content_type: Conferences
-
abstract: A portable image-based detection system for
Up-converting phosphor immune lateral flow assay is introduced. A
commecial low light level CMOS sensor is chosen as the detector, which
is low cost. The excitation light source is a 980nm and 500mw laser
diode. In order to minish the error induced by the un-uniformity of
laser irradiation, a diffuser is inserted into the beam and a
calibration algorithm is developed. The residual error from the
un-uniformity irradiation is less than 1%. Benefit from the adjustable
of the exposure time, the integrated dynamic range of the system is as
high as 106dB. The repeat test error for the very low signal is 1%
(variation coefficient). And the linear correlation coefficient between
the tested T/C value and sample concentration is 0.998. Compared to the
traditional instrument, the detection system is static, low cost,
portable and high-precision.
- article_number: 8903331
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8903331
-
html_url:
https://ieeexplore.ieee.org/document/8903331/
-
abstract_url:
https://ieeexplore.ieee.org/document/8903331/
-
publication_title: BIBE 2019; The Third International
Conference on Biological Information and Biomedical Engineering
- conference_location: Hangzhou, China
- conference_dates: 20-22 June 2019
- publication_number: 8903323
- is_number: 8903324
- publication_year: 2019
- publication_date: 20-22 June 2019
- start_page: 1
- end_page: 7
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 26
- insert_date: 20191118
-
index_terms:
-
dynamic_index_terms:
- Low Cost
- Immunoassay
- Immunoreactivity
- Exposure Time
- Laser Scanning
- Dynamic Range
- Rapid Diagnostic Tests
- Rapid Test
- Optical System
- Optical Devices
- Rare Earth Elements
- Rare Earth
- Lanthanide
- T-value
- Rapid Detection
- Diode Laser
- Raw Images
- Inbreeding Coefficient
- Relative Coefficient
- Coancestry
- Kinship Coefficient
- Beam Splitter
- Laser Irradiation
- Laser Radiation
- Signal Distribution
- Liquid Samples
- Point-of-care Testing
- Lateral Flow
-
isbn_formats:
-
format: Print ISBN,
value: 978-3-8007-5026-9,
isbnType: New-2005
-
authors:
-
Author Name: Chao Li
Affiliation:
Author URL:
ID:
Order: 1
-
Author Name: Meng Chen
Affiliation:
Author URL:
ID:
Order: 2
-
Author Name: Zhi Cheng
Affiliation:
Author URL:
ID:
Order: 3
-
Author Name: Feng Chen
Affiliation:
Author URL:
ID:
Order: 4
-
Author Name: Taihu Wu
Affiliation:
Author URL:
ID:
Order: 5
-
Author Name: Yaohua Du
Affiliation:
Author URL:
ID:
Order: 6
Image Sensor
- sensor_type: CMOS
- resolution: [ Not provided ]
- dynamic_range: [ Not provided ]
- pixel_size: [ Not provided ]
- dark_current: [ Not provided ]
Optical Data
- focal_length: [ Not provided ]
- aperture: [ Not provided ]
- field_of_view: [ Not provided ]
- distortion: [ Not provided ]
Performance Metrics
- frame_rate: [ Not provided ]
- signal_to_noise_ratio: [ Not provided ]
- sensitivity: [ Not provided ]
- shutter_speed: [ Not provided ]
- power_consumption: [ Not provided ]
- noise: [ Not provided ]
Applications & Benefits
-
cell_imaging: CMOS image sensors are used in a variety
of applications including smartphones, medical devices, and automotive
systems.
-
benefits: Key performance parameters include pixel
size, fill factor, quantum efficiency, dark current, signal-to-noise
ratio, dynamic range, and power consumption.
Supporting Organizations
- supported_by: [ Not provided ]
Manuscript Details
- publication_date: 20-22 June 2019
Relevancy Score
- score: 10
-
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
- noise
- cell_imaging
- benefits
- supported_by
- authors
- publication_date
Processed JSON Filename
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