Quantitative Estimation Of Biological Cell Surface Receptors By Segmenting Conventional Fluorescence Microscopy Images

• doi: 10.1109/ISCAS.2014.6865512
• title: Quantitative estimation of biological cell surface receptors by segmenting conventional fluorescence microscopy images
• publisher: IEEE
• isbn: 978-1-4799-3431-7
• issn: 2158-1525
• rank: 3346
• access_type: LOCKED
• content_type: Conferences
• abstract: State-of-the-art techniques for measuring and monitoring gene level expression rely on messenger RNA (mRNA) extraction and quantification, usually based on the concept of reverse transcription polymerase chain reaction. In this paper, we take advantage of capabilities of image segmentation algorithms for monitoring target cell surface biomarkers using immunofluorescence microscopy. As a case study, we are looking at the expression level of toll-like receptor 2 (TLR2) proteins on Caco-2 intestinal cells after stimulation with lipopolysaccharide. The goal of this paper is to identify the segmentation algorithm which provides the best correlation between the pixel intensities of fluorescent images and quantified TLR2 mRNA. Three image segmentation algorithms are considered in this study for processing the fluorescent images acquired using a low-cost CMOS sensor. We conclusively show the existence of a proper segmentation algorithm from which we can extract results that are heavily correlated with TLR2 mRNA quantifications. The obtained results open possibilities for cost-effective and real-time monitoring of biomarkers with applications in embedded or lab-on-chip systems.
• article_number: 6865512
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6865512
• html_url: https://ieeexplore.ieee.org/document/6865512/
• abstract_url: https://ieeexplore.ieee.org/document/6865512/
• publication_title: 2014 IEEE International Symposium on Circuits and Systems (ISCAS)
• conference_location: Melbourne, VIC, Australia
• conference_dates: 1-5 June 2014
• publication_number: 6852006
• is_number: 6865048
• publication_year: 2014
• publication_date: 1-5 June 2014
• start_page: 1824
• end_page: 1827
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 145
• insert_date: 20140726
• index_terms:
  • ieee_terms:
    • Image segmentation
    • Correlation
    • Biomarkers
    • Microscopy
    • Monitoring
    • Immune system
    • CMOS integrated circuits
  • author_terms:
    • Fluorescence microscopy
    • Cell monitor
  • dynamic_index_terms:
    • Conventional Fluorescence Microscopy
    • Image Segmentation
    • Immunofluorescence Microscopy
    • Goal Of This Paper
    • Segmentation Algorithm
    • Low-cost Sensors
    • Intestinal Caco-2 Cells
    • Image Segmentation Algorithm
    • Pearson Correlation
    • Pearson Correlation Coefficient
    • Spearman Correlation
    • Spearman’s Rank
    • Spearman’s Rank Correlation
    • Image Processing
    • Rank Correlation
    • Rank Correlation Coefficient
    • Caco-2 Cells
    • Figure Of Merit
    • Lipopolysaccharide Treatment
    • mRNA Content
    • Solid Curve
    • Texas Red
    • Image Processing Techniques
    • Otsu’s Method
    • Otsu Algorithm
    • Top-hat Filter
    • Missing Data Points
• isbn_formats:
  • format: CD, value: 978-1-4799-3431-7, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4799-3432-4, isbnType: New-2005
• authors:
  • Author Name: Julien Ghaye
    Affiliation: Integrated Systems Laboratory, École Poly technique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/38468740600
    ID: 38468740600
    Order: 1
    Author Affiliations:
    • Integrated Systems Laboratory, École Poly technique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
  • Author Name: Chiara Succa
    Affiliation: Integrated Systems Laboratory, École Poly technique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37086755710
    ID: 37086755710
    Order: 2
    Author Affiliations:
    • Integrated Systems Laboratory, École Poly technique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
  • Author Name: Danilo Demarchi
    Affiliation: Electronics and Telecommunication Department, Politecnico di Torino, Torino, Italy
    Author URL: https://ieeexplore.ieee.org/author/37398264500
    ID: 37398264500
    Order: 3
    Author Affiliations:
    • Electronics and Telecommunication Department, Politecnico di Torino, Torino, Italy
  • Author Name: Sinan K. Muldur
    Affiliation: European Commission, Institute for Health and Consumer Protection, Ispra, Italy
    Author URL: https://ieeexplore.ieee.org/author/37085506164
    ID: 37085506164
    Order: 4
    Author Affiliations:
    • European Commission, Institute for Health and Consumer Protection, Ispra, Italy
  • Author Name: Pascal Colpo
    Affiliation: European Commission, Institute for Health and Consumer Protection, Ispra, Italy
    Author URL: https://ieeexplore.ieee.org/author/37320980000
    ID: 37320980000
    Order: 5
    Author Affiliations:
    • European Commission, Institute for Health and Consumer Protection, Ispra, Italy
  • Author Name: Paolo Silacci
    Affiliation: Federal Department of Economic Affairs Education and Research EAER, Bern, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37086760170
    ID: 37086760170
    Order: 6
    Author Affiliations:
    • Federal Department of Economic Affairs Education and Research EAER, Bern, Switzerland
  • Author Name: Guy Vergères
    Affiliation: Federal Department of Economic Affairs Education and Research EAER, Bern, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37086759287
    ID: 37086759287
    Order: 7
    Author Affiliations:
    • Federal Department of Economic Affairs Education and Research EAER, Bern, Switzerland
  • Author Name: Giovanni De Micheli
    Affiliation: Integrated Systems Laboratory, École Poly technique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37274174300
    ID: 37274174300
    Order: 8
    Author Affiliations:
    • Integrated Systems Laboratory, École Poly technique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
  • Author Name: Sandro Carrara
    Affiliation: Integrated Systems Laboratory, École Poly technique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
    Author URL: https://ieeexplore.ieee.org/author/37299969000
    ID: 37299969000
    Order: 9
    Author Affiliations:
    • Integrated Systems Laboratory, École Poly technique Fédérale de Lausanne, EPFL, Lausanne, Switzerland

Image Sensor

• sensor_type: CMOS
• resolution: 752x480
• dynamic_range: Not specified
• pixel_size: 6.0 µm x 6.0 µm
• 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 for fluorescence microscopy to assess biomarker expression in cell cultures.
• benefits: Cost-effective, capable of real-time monitoring, and can be integrated into embedded systems.

Supporting Organizations

• supported_by: Swiss Nano-Tera.ch initiative, Swiss National Science Foundation, NutriChip project, NanoSys project.

Manuscript Details

• publication_date: 1-5 June 2014

Relevancy Score

• score: 10
• missing_fields:
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

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