Automated analysis of platelet aggregation on cultured endothelium in a microfluidic chip perfused with human whole blood

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Abstract

Organ-on-a-chip models with incorporated vasculature are becoming more popular to study platelet biology. A large variety of image analysis techniques are currently used to determine platelet coverage, ranging from manually setting thresholds to scoring platelet aggregates. In this communication, an automatedmethodology is introduced,which correctsmisalignment of amicrofluidic channel, automatically defines regions of interest and utilizes a triangle threshold to determine platelet coverages and platelet aggregate size distributions. A comparison between the automated methodology and manual identification of platelet aggregates shows a high accuracy of the triangle methodology. Furthermore, the image analysis methodology can determine platelet coverages and platelet size distributions in microfluidic channels lined with either untreated or activated endothelium used for whole blood perfusion, proving the robustness of the method.

Original languageEnglish
Article number781
JournalMicromachines
Volume10
Issue number11
DOIs
Publication statusPublished - 14 Nov 2019

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Platelets
Microfluidics
Blood
Agglomeration
Image analysis
Communication

Keywords

  • Automatic threshold
  • Image analysis
  • Microfluidics
  • Organ-on-a-chip
  • Platelet aggregate
  • Platelet coverage
  • Platelet size distribution
  • Thrombosis
  • Thrombosis-on-a-chip
  • Triangle threshold

Cite this

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title = "Automated analysis of platelet aggregation on cultured endothelium in a microfluidic chip perfused with human whole blood",
abstract = "Organ-on-a-chip models with incorporated vasculature are becoming more popular to study platelet biology. A large variety of image analysis techniques are currently used to determine platelet coverage, ranging from manually setting thresholds to scoring platelet aggregates. In this communication, an automatedmethodology is introduced,which correctsmisalignment of amicrofluidic channel, automatically defines regions of interest and utilizes a triangle threshold to determine platelet coverages and platelet aggregate size distributions. A comparison between the automated methodology and manual identification of platelet aggregates shows a high accuracy of the triangle methodology. Furthermore, the image analysis methodology can determine platelet coverages and platelet size distributions in microfluidic channels lined with either untreated or activated endothelium used for whole blood perfusion, proving the robustness of the method.",
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AU - Passier, Robert

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AB - Organ-on-a-chip models with incorporated vasculature are becoming more popular to study platelet biology. A large variety of image analysis techniques are currently used to determine platelet coverage, ranging from manually setting thresholds to scoring platelet aggregates. In this communication, an automatedmethodology is introduced,which correctsmisalignment of amicrofluidic channel, automatically defines regions of interest and utilizes a triangle threshold to determine platelet coverages and platelet aggregate size distributions. A comparison between the automated methodology and manual identification of platelet aggregates shows a high accuracy of the triangle methodology. Furthermore, the image analysis methodology can determine platelet coverages and platelet size distributions in microfluidic channels lined with either untreated or activated endothelium used for whole blood perfusion, proving the robustness of the method.

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