Highthroughput Digital Readout System For Realtime Ion Imaging Using Cmos
Isfet Arrays
- doi: 10.1109/ISCAS45731.2020.9181096
-
title: High-Throughput Digital Readout System for
Real-Time Ion Imaging using CMOS ISFET Arrays
- publisher: IEEE
- isbn: 978-1-7281-3320-1
- issn: 2158-1525
- rank: 2635
- access_type: LOCKED
- content_type: Conferences
-
abstract: This paper demonstrates a novel readout
platform for ISFET-based ion imagers which is capable of performing
high-throughput data acquisition and real-time monitoring on high-speed
chemical reactions. The front end employs a 128×128 array of integrated
ISFET pH sensors fabricated in unmodified CMOS process. The array
operates at a frame rate of up to 3000 fps for detecting hydrogen ion
diffusion, generating a maximum data stream of 491.52 Mbps. A digital
readout system consisting of a readout module for data buffering, an AXI
master controller for accessing on-board DDR3 memory and a PCIe
subsystem for transmitting data packets is implemented on an Alinx
AX7103 development board to link the chip and the PC. The platform
capabilities are demonstrated with a real-time ion imaging experiment,
by observing the diffusion of NaOH pills in water within 320 ms,
visualized on screen with a latency of 0.15 s. Lastly, different image
processing algorithms including Gaussian, Bilateral and Non-local Mean
are evaluated for noise reduction and an accelerator for the optimum
filter is implemented for real-time ion-imaging.
- article_number: 9181096
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9181096
-
html_url:
https://ieeexplore.ieee.org/document/9181096/
-
abstract_url:
https://ieeexplore.ieee.org/document/9181096/
-
publication_title: 2020 IEEE International Symposium on
Circuits and Systems (ISCAS)
- conference_location: Seville, Spain
- conference_dates: 12-14 Oct 2020
- publication_number: 9179985
- is_number: 9180369
- publication_year: 2020
- publication_date: 12-14 Oct 2020
- start_page: 1
- end_page: 5
- citing_paper_count: 2
- citing_patent_count: 0
- download_count: 273
- insert_date: 20200928
-
index_terms:
-
ieee_terms:
- Ions
- Real-time systems
- Imaging
- Clocks
- Field programmable gate arrays
- Throughput
- Data acquisition
-
dynamic_index_terms:
- Digital Technologies
- Ion Images
- Readout System
- Chemical Reactions
- Frame Rate
- Ion Diffusion
- Front End
- Image Processing Algorithms
- Throughput
- High Speed
- Ionic Interactions
- Flow Data
- Data Frame
- Ethernet
- High Frame Rate
- Clock Frequency
- Clock Cycles
- Bilateral Filter
- Total Latency
- Spatial-temporal Information
- Distinct Spike
-
isbn_formats:
-
format: Print ISBN,
value: 978-1-7281-3320-1,
isbnType: New-2005
-
authors:
-
Author Name: Lei Kuang
Affiliation: Institute of Biomedical Engineering,
Department of Electrical and Electronic Engineering, Imperial
College London, London, UK
Author URL:
https://ieeexplore.ieee.org/author/37088354123
ID: 37088354123
Order: 1
Author Affiliations:
-
Institute of Biomedical Engineering, Department of Electrical
and Electronic Engineering, Imperial College London, London, UK
-
Author Name: Junming Zeng
Affiliation: Institute of Biomedical Engineering,
Department of Electrical and Electronic Engineering, Imperial
College London, London, UK
Author URL:
https://ieeexplore.ieee.org/author/37086500251
ID: 37086500251
Order: 2
Author Affiliations:
-
Institute of Biomedical Engineering, Department of Electrical
and Electronic Engineering, Imperial College London, London, UK
-
Author Name: Pantelis Georgiou
Affiliation: Institute of Biomedical Engineering,
Department of Electrical and Electronic Engineering, Imperial
College London, London, UK
Author URL:
https://ieeexplore.ieee.org/author/37302145800
ID: 37302145800
Order: 3
Author Affiliations:
-
Institute of Biomedical Engineering, Department of Electrical
and Electronic Engineering, Imperial College London, London, UK
Image Sensor
- sensor_type: CMOS
- resolution: 128x128
- 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
Applications & Benefits
-
cell_imaging: Enabled real-time ion imaging experiments
and monitoring in applications such as enzyme kinetics, food safety, and
recording of neural activities.
-
benefits: High-throughput data acquisition, real-time
monitoring capabilities.
Supporting Organizations
-
supported_by: Centre for Bio-Inspired Technology,
Imperial College London
Manuscript Details
- publication_date: 12-14 Oct 2020
Relevancy Score
- score: 10
-
missing_fields:
- dynamic_range
- fill factor
- quantum efficiency
- dark_current
- signal-to-noise ratio
- power consumption
- focal_length
- aperture
- field_of_view
- distortion
- sensitivity
- shutter_speed
- noise
Processed JSON Filename
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