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Image enhancement variational methods for Enabling Strong Cost Reduction in OLED-based Point-of-Care Immunofluorescent Diagnostic Systems

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Titel: Image enhancement variational methods for Enabling Strong Cost Reduction in OLED-based Point-of-Care Immunofluorescent Diagnostic Systems
Autoren: Damiana Lazzaro, Serena Morigi, P. Melpignano, E. Loli Piccolomini, Luca Benini
Weitere Verfasser: Damiana, Lazzaro, Serena, Morigi, Melpignano, P., Loli Piccolomini, E., Luca, Benini
Publikationsjahr: 2018
Bestand: IRIS Università degli Studi di Bologna (CRIS - Current Research Information System)
Schlagwörter: Variational image processing, image segmentation, image super-resolution, immunofluorescience technique, CMOS image sensors
Beschreibung: Objective:Immunofluorescence diagnostic systems cost is often dominated by high-sensitivity, low-noise CCD-based cameras which are used to acquire the fluorescence images. In this paper we investigate the use of low-cost CMOS sensors in a point-of-care immunofluorescence diagnostic application for the detection and discrimination of four different serotypes of the Dengue virus in a set of human samples. Methods: A two-phase post-processing software pipeline is proposed which consists in a first image enhancement stage for resolution increasing and segmentation, and a second diagnosis stage for the computation of the output concentrations. Results: We present a novel variational coupled model for the joint super-resolution and segmentation stage, and an automatic innovative image analysis for the diagnosis purpose. A specially designed Forward Backward-based numerical algorithm is introduced and its convergence is proved under mild conditions. We present results on a cheap prototype CMOS camera compared with the results of a more expensive CCD device, for the detection of the Dengue virus with a low-cost OLED light source. The combinationoftheCMOSsensorandthedevelopedpost-processingsoftwareallowstocorrectlyidentifythe different Dengue serotype using an automatized procedure. Conclusions: The results demonstrate that our diagnostic imaging system enables camera cost reduction up to 99%, at an acceptable diagnostic accuracy, with respect to the reference CCD-based camera system. The correct detection and identification of the Dengue serotypes has been confirmed by standard diagnostic methods (RT-PCR and ELISA)
Publikationsart: article in journal/newspaper
Dateibeschreibung: STAMPA
Sprache: English
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000426612100006; volume:34; issue:3; firstpage:2932; lastpage:2951; numberofpages:20; journal:INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING; info:eu-repo/grantAgreement/EC/FP7/291125; http://hdl.handle.net/11585/614467
DOI: 10.1002/cnm.2932
Verfügbarkeit: http://hdl.handle.net/11585/614467
https://doi.org/10.1002/cnm.2932
https://onlinelibrary.wiley.com/doi/10.1002/cnm.2932
Rights: info:eu-repo/semantics/openAccess
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Image enhancement variational methods for Enabling Strong Cost Reduction in OLED-based Point-of-Care Immunofluorescent Diagnostic Systems
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Damiana+Lazzaro%22">Damiana Lazzaro</searchLink><br /><searchLink fieldCode="AR" term="%22Serena+Morigi%22">Serena Morigi</searchLink><br /><searchLink fieldCode="AR" term="%22P%2E+Melpignano%22">P. Melpignano</searchLink><br /><searchLink fieldCode="AR" term="%22E%2E+Loli+Piccolomini%22">E. Loli Piccolomini</searchLink><br /><searchLink fieldCode="AR" term="%22Luca+Benini%22">Luca Benini</searchLink>
– Name: Author
  Label: Contributors
  Group: Au
  Data: Damiana, Lazzaro<br />Serena, Morigi<br />Melpignano, P.<br />Loli Piccolomini, E.<br />Luca, Benini
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2018
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: IRIS Università degli Studi di Bologna (CRIS - Current Research Information System)
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Variational+image+processing%22">Variational image processing</searchLink><br /><searchLink fieldCode="DE" term="%22image+segmentation%22">image segmentation</searchLink><br /><searchLink fieldCode="DE" term="%22image+super-resolution%22">image super-resolution</searchLink><br /><searchLink fieldCode="DE" term="%22immunofluorescience+technique%22">immunofluorescience technique</searchLink><br /><searchLink fieldCode="DE" term="%22CMOS+image+sensors%22">CMOS image sensors</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Objective:Immunofluorescence diagnostic systems cost is often dominated by high-sensitivity, low-noise CCD-based cameras which are used to acquire the fluorescence images. In this paper we investigate the use of low-cost CMOS sensors in a point-of-care immunofluorescence diagnostic application for the detection and discrimination of four different serotypes of the Dengue virus in a set of human samples. Methods: A two-phase post-processing software pipeline is proposed which consists in a first image enhancement stage for resolution increasing and segmentation, and a second diagnosis stage for the computation of the output concentrations. Results: We present a novel variational coupled model for the joint super-resolution and segmentation stage, and an automatic innovative image analysis for the diagnosis purpose. A specially designed Forward Backward-based numerical algorithm is introduced and its convergence is proved under mild conditions. We present results on a cheap prototype CMOS camera compared with the results of a more expensive CCD device, for the detection of the Dengue virus with a low-cost OLED light source. The combinationoftheCMOSsensorandthedevelopedpost-processingsoftwareallowstocorrectlyidentifythe different Dengue serotype using an automatized procedure. Conclusions: The results demonstrate that our diagnostic imaging system enables camera cost reduction up to 99%, at an acceptable diagnostic accuracy, with respect to the reference CCD-based camera system. The correct detection and identification of the Dengue serotypes has been confirmed by standard diagnostic methods (RT-PCR and ELISA)
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  Data: info:eu-repo/semantics/altIdentifier/wos/WOS:000426612100006; volume:34; issue:3; firstpage:2932; lastpage:2951; numberofpages:20; journal:INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING; info:eu-repo/grantAgreement/EC/FP7/291125; http://hdl.handle.net/11585/614467
– Name: DOI
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  Data: 10.1002/cnm.2932
– Name: URL
  Label: Availability
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  Data: http://hdl.handle.net/11585/614467<br />https://doi.org/10.1002/cnm.2932<br />https://onlinelibrary.wiley.com/doi/10.1002/cnm.2932
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        Value: 10.1002/cnm.2932
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      – Text: English
    Subjects:
      – SubjectFull: Variational image processing
        Type: general
      – SubjectFull: image segmentation
        Type: general
      – SubjectFull: image super-resolution
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      – SubjectFull: immunofluorescience technique
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      – SubjectFull: CMOS image sensors
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      – TitleFull: Image enhancement variational methods for Enabling Strong Cost Reduction in OLED-based Point-of-Care Immunofluorescent Diagnostic Systems
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