Computational Tracking of Shear-Mediated Platelet Interactions with von Willebrand Factor
| Autor: | Emma Hogan, Dermot Kenny, Adam Ralph, Antonio J. Ricco, Nigel Kent, Simon Wong, Hannah Dunne, Bruno Voisin, Jonathan Cowman, Martin Somers, Barry J. Byrne, Eimear Dunne |
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| Přispěvatelé: | Science Foundation Ireland |
| Rok vydání: | 2016 |
| Předmět: |
Blood Platelets
0301 basic medicine Biomedical Platelet Function Tests Computer science Biomedical Engineering Tracking (particle physics) 03 medical and health sciences 0302 clinical medicine Von Willebrand factor Video fluorescence microscopy von Willebrand Factor Image Processing Computer-Assisted Humans Platelet Whole blood flow-based assay Simulation Microscopy Video biology Mechanical Engineering Tracking algorithm Electrical and Computer Engineering Platelet dynamics Adenosine Diphosphate 030104 developmental biology Microscopy Fluorescence Cell Tracking 030220 oncology & carcinogenesis biology.protein Cardiology and Cardiovascular Medicine Algorithms Platelet Aggregation Inhibitors Biomedical engineering |
| Zdroj: | Articles |
| ISSN: | 1869-4098 1869-408X |
| DOI: | 10.1007/s13239-016-0282-x |
| Popis: | The imaging of shear-mediated dynamic platelet behavior interacting with surface-immobilized von Willebrand factor (vWF) has tremendous potential in characterizing changes in platelet function for clinical diagnostics purposes. However, the imaging output, a series of images representing platelets adhering and rolling on the surface, poses unique, non-trivial challenges for software algorithms that reconstruct the positional trajectories of platelets. We report on an algorithm that tracks platelets using the output of such flow run experiments, taking into account common artifacts encountered by previously-published methods, and we derive seven key metrics of platelet dynamics that can be used to characterize platelet function. Extensive testing of our method using simulated platelet flow run data was carried out to validate our tracking method and derived metrics in capturing key platelet-vWF interaction-dynamics properties. Our results show that while the number of platelets present on the imaged area is the leading cause of errors, flow run data from two experiments using whole blood samples showed that our method and metrics can detect platelet property changes/differences that are concordant with the expected biological outcome, such as inhibiting key platelet receptors such as P2Y1, glycoprotein (GP)Ib and GPIIb/IIIa. These findings support the use of our methodologies to characterize platelet function among a wide range of healthy and disease cohorts. |
| Databáze: | OpenAIRE |
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