Ultrafast Onchip Sensing For Pcr Detection With Machine Learningbased Image Processing Algorithm

• doi: 10.1109/CSTIC55103.2022.9856872
• title: Ultra-Fast On-Chip Sensing for PCR Detection with Machine Learning-Based Image Processing Algorithm
• publisher: IEEE
• isbn: 978-1-6654-9759-6
• issn:
• rank: 3920
• access_type: LOCKED
• content_type: Conferences
• abstract: This work developed a highly integrated and ultra- fast optoelectronic on-chip Polymerase Chain Reaction (PCR) system, in which multiple Si-based optoelectronic on-chip sensing techniques have been used, i.e., CMOS imaging sensor, novel snake-shaped microfluidic chip fabricated using MEMS technology, and a thermoelectric cooler chip module. A machine learning-based algorithm has also been developed to improve the PCR testing speed and accuracy. This design exhibits an ultra-fast PCR testing process of fewer than 5 minutes, and a PCR testing accuracy as high as 91.1 % has been achieved.
• article_number: 9856872
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9856872
• html_url: https://ieeexplore.ieee.org/document/9856872/
• abstract_url: https://ieeexplore.ieee.org/document/9856872/
• publication_title: 2022 China Semiconductor Technology International Conference (CSTIC)
• conference_location: Shanghai, China
• conference_dates: 20-21 June 2022
• publication_number: 9856647
• is_number: 9856709
• publication_year: 2022
• publication_date: 20-21 June 2022
• start_page: 1
• end_page: 4
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 163
• insert_date: 20220823
• index_terms:
  • ieee_terms:
    • Semiconductor device modeling
    • Micromechanical devices
    • Machine learning algorithms
    • Image processing
    • System-on-chip
    • Sensors
    • Polymers
  • dynamic_index_terms:
    • Polymerase Chain Reaction
    • Polymerase Chain Reaction Detection
    • Learning-based Algorithms
    • Test Accuracy
    • Microfluidic Chip
    • Lab-on-chip
    • Lab-on-a-chip
    • Polymerase Chain Reaction Test
    • Thermoelectric Coolers
    • Peltier Element
    • Peltier Device
    • Peltier Cooler
    • Machine Learning
    • Machine-learning
    • Random Forest
    • Positive Samples
    • Decision Tree
    • Negative Samples
    • Random Forest Model
    • Heating Cycle
    • Bayesian Optimization
    • Conventional Polymerase Chain Reaction
    • Machine Learning-based Methods
    • Machine Learning-based Method
    • Grid Search Method
    • Grid Search Methods
    • Traditional Machine Learning Models
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-6654-9759-6, isbnType: New-2005
  • format: USB ISBN, value: 978-1-6654-9757-2, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-6654-9758-9, isbnType: New-2005
• authors:
  • Author Name: Jingxuan Shen
    Affiliation: School of Microelectronics, Shanghai University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37089498699
    ID: 37089498699
    Order: 1
    Author Affiliations:
    • School of Microelectronics, Shanghai University, Shanghai, China
  • Author Name: Lilei Hu
    Affiliation: School of Microelectronics, Shanghai University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37089495567
    ID: 37089495567
    Order: 2
    Author Affiliations:
    • School of Microelectronics, Shanghai University, Shanghai, China
    • Shanghai Industrial µTechnology Research Institute, Shanghai, China
  • Author Name: Yichen Zhang
    Affiliation: Shanghai Industrial µTechnology Research Institute, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37089499841
    ID: 37089499841
    Order: 3
    Author Affiliations:
    • Shanghai Industrial µTechnology Research Institute, Shanghai, China
  • Author Name: Zhu Chen
    Affiliation: School of Microelectronics, Shanghai University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37089499046
    ID: 37089499046
    Order: 4
    Author Affiliations:
    • School of Microelectronics, Shanghai University, Shanghai, China
  • Author Name: Liying Liu
    Affiliation: Shanghai Si-Gene Biotech Co., Ltd, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37089496142
    ID: 37089496142
    Order: 5
    Author Affiliations:
    • Shanghai Si-Gene Biotech Co., Ltd, Shanghai, China
  • Author Name: Yang Liu
    Affiliation: School of Microelectronics, Shanghai University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37089498910
    ID: 37089498910
    Order: 6
    Author Affiliations:
    • School of Microelectronics, Shanghai University, Shanghai, China
  • Author Name: Yuqian Ma
    Affiliation: School of Microelectronics, Shanghai University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37089499290
    ID: 37089499290
    Order: 7
    Author Affiliations:
    • School of Microelectronics, Shanghai University, Shanghai, China
  • Author Name: Chang Chen
    Affiliation: School of Microelectronics, Shanghai University, Shanghai, China
    Author URL: https://ieeexplore.ieee.org/author/37089498561
    ID: 37089498561
    Order: 8
    Author Affiliations:
    • School of Microelectronics, Shanghai University, Shanghai, China
    • Shanghai Industrial µTechnology Research Institute, Shanghai, China
    • State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences, Shanghai, China
    • Shanghai Academy of Experimental Medicine, Shanghai, China
    • Shanghai Si-Gene Biotech Co., Ltd, Shanghai, China

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

Applications & Benefits

• cell_imaging: Used in PCR detection systems and medical diagnostics.
• benefits: Enables ultra-fast PCR testing and improves accuracy.

Supporting Organizations

• supported_by: Shanghai Si-Gene Biotech Co., Ltd, Shanghai Industrial μTechnology Research Institute, Shanghai Academy of Experimental Medicine, State Key Laboratory of Transducer Technology.

Manuscript Details

• publication_date: 20-21 June 2022

Relevancy Score

• score: 9
• missing_fields:
  • pixel_size
  • resolution
  • dynamic_range
  • dark_current
  • frame_rate
  • sensitivity
  • signal_to_noise_ratio
  • power_consumption
  • noise
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • shutter_speed

Processed JSON Filename

request_3c3d627d-2293-4086-8f53-1135097b7992-ultrafast_onchip_sensing_for_pcr_detection_with_machine_learningbased_image_processing_algorithm.json