An Imaging Platform For Realtime In Vitro Microscopic Imaging For Laboncmos Systems

• doi: 10.1109/BIOCAS.2019.8919023
• title: An Imaging Platform for Real-Time In Vitro Microscopic Imaging for Lab-on-CMOS Systems
• publisher: IEEE
• isbn: 978-1-5090-0618-2
• issn: 2163-4025
• rank: 1502
• access_type: LOCKED
• content_type: Conferences
• abstract: CMOS-based microelectronic sensors have great potential in the development of biosensors for medical and life science applications. Validating these lab-on-CMOS systems is a challenging task due to the difficulties in obtaining simultaneous ground-truth imaging and sensor data. In this work, we report a real-time imaging platform that generates high-quality images of lab-on-CMOS systems within cell culture environments. The platform was used to validate a CMOS capacitance sensor that monitors cell viability, proliferation, and death. In vitro experiments were performed with human ovarian cancer cell lines, in which time-lapse images and capacitance recordings were acquired simultaneously over three days. The images corroborate the temporal changes in capacitance recordings as the cells proliferate, and unambiguously confirm the sensor's ability to detect single-cell binding events, track cell morphology changes, identify cell division events, and monitor cell motility.
• article_number: 8919023
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8919023
• html_url: https://ieeexplore.ieee.org/document/8919023/
• abstract_url: https://ieeexplore.ieee.org/document/8919023/
• publication_title: 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)
• conference_location: Nara, Japan
• conference_dates: 17-19 Oct. 2019
• publication_number: 8910168
• is_number: 8918681
• publication_year: 2019
• publication_date: 17-19 Oct. 2019
• start_page: 1
• end_page: 4
• citing_paper_count: 4
• citing_patent_count: 0
• download_count: 333
• insert_date: 20191205
• index_terms:
  • ieee_terms:
    • In vitro
    • Imaging
    • Real-time systems
    • Packaging
    • Protocols
  • author_terms:
    • biosensor chip
    • lab on a chip
    • real-time imaging
    • CMOS sensor validation
    • lab-on-CMOS
  • dynamic_index_terms:
    • Imaging Platform
    • Cell Culture
    • Co-culture
    • Cell Proliferation
    • Cell Death
    • Cell Motility
    • Cell Movement
    • Sensor Data
    • Changes In Cell Morphology
    • Time-lapse Imaging
    • Simultaneous Imaging
    • Human Ovarian Cancer Cells
    • Capacitive Sensor
    • Real-time Platform
    • Cell Culture Environment
    • Life Science Applications
    • Life-science Applications
    • Cell Culture Medium
    • Cell Medium
    • Imaging Techniques
    • Cell Imaging
    • Gas Exchange
    • Increase In Capacity
    • Airtight
    • Hermetically Sealed
    • Reflection Microscopy
    • Capacitive Coupling
    • AC-coupled
    • Electrostatic Coupling
    • Standard Microscope
    • Outer Wells
    • Differential Interference Contrast
    • Optical Measurements
    • Evaporation Of Medium
    • Immersion Lens
    • Immersion Lenses
    • Cytotoxic Agents
    • Discrete Intervals
    • Discrete Time Intervals
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5090-0618-2, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5090-0617-5, isbnType: New-2005
• authors:
  • Author Name: Bathiya Senevirathna
    Affiliation: Dept. of Electrical and Computer Engineering, University of Maryland, College Park, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37085414608
    ID: 37085414608
    Order: 1
    Author Affiliations:
    • Dept. of Electrical and Computer Engineering, University of Maryland, College Park, College Park, MD, USA
  • Author Name: Sheung Lu
    Affiliation: Dept. of Electrical and Computer Engineering, University of Maryland, College Park, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37085470506
    ID: 37085470506
    Order: 2
    Author Affiliations:
    • Dept. of Electrical and Computer Engineering, University of Maryland, College Park, College Park, MD, USA
  • Author Name: Elisabeth Smela
    Affiliation: Dept. of Mechanical Engineering, University of Maryland, College Park, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37270797200
    ID: 37270797200
    Order: 3
    Author Affiliations:
    • Dept. of Mechanical Engineering, University of Maryland, College Park, College Park, MD, USA
  • Author Name: Pamela Abshire
    Affiliation: Dept. of Electrical and Computer Engineering, University of Maryland, College Park, College Park, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37270824500
    ID: 37270824500
    Order: 4
    Author Affiliations:
    • Dept. of Electrical and Computer Engineering, University of Maryland, College Park, College Park, MD, USA

Image Sensor

• sensor_type: CMOS
• resolution: High resolution
• dynamic_range: High
• pixel_size: Small size
• dark_current: Low dark current

Optical Data

• focal_length: Varies
• aperture: Varies
• field_of_view: Varies
• distortion: Minimal distortion

Performance Metrics

• frame_rate: High frame rate
• signal_to_noise_ratio: High SNR
• sensitivity: High sensitivity
• shutter_speed: Varies
• power_consumption: Low power consumption
• noise: Low noise

Applications & Benefits

• cell_imaging: Used in medical imaging devices for diagnostics and health monitoring.
• benefits: High efficiency in converting light to signal, compact design suitable for various applications.

Supporting Organizations

• supported_by: University of Calgary, IEEE

Manuscript Details

• publication_date: 17-19 Oct. 2019

Relevancy Score

• score: 10

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