| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Braune, Steffen
Brandenburg University of Technology Cottbus-Senftenberg
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2021Effect of endothelial culture medium composition on platelet responses to polymeric biomaterialscitations
- 2021Effect of Endothelial Culture Medium Composition on Platelet Responses to Polymeric Biomaterialscitations
- 2018Influence of different surface treatments of poly(n-butyl acrylate) networks on fibroblasts adhesion, morphology and viabilitycitations
- 2014Multivalent grafting of hyperbranched oligo- and polyglycerols shielding rough membranes to mediate hemocompatibilitycitations
- 2014Multivalent grafting of hyperbranched oligo- and polyglycerols shielding rough membranes to mediate hemocompatibilitycitations
- 2012The influence of poly(n-butyl acrylate) networks on viability and function of smooth muscle cells and vascular fibroblastscitations
- 2012Automated image-based analysis of adherent thrombocytes on polymer surfacescitations
- 2011Hemocompatibility of soft hydrophobic poly(n-butyl acrylate) networks with elastic moduli adapted to the elasticity of human arteriescitations
Places of action
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article
Automated image-based analysis of adherent thrombocytes on polymer surfaces
Abstract
A dataset of 439 confocal laser scanning microscopic images was analyzed to investigate the potential of an image-based automated analysis for identifying and assessing adherent thrombocytes on polymer surfaces. Parameters for image optimization of glutardialdehyde induced fluorescence images were classified and data mining was performed using the Java image processing software ImageJ. Previously reported analysis required that each thrombocyte had to be identified interactively and outlined manually. Now, we were able to determine the number and area of adherent thrombocytes with high accuracy (spearman correlation coefficient r = 0.98 and r = 0.99) using a two-stage filter-set, including a rolling ball background subtraction- and a watershed segmentation-algorithm. Furthermore, we could proof a significant correlation between these parameters (spearman correlation coefficient r = 0.97), determining both as suitable predictors for the evaluation of material induced thrombogenicity. The here reported image-based automated analysis can be successfully applied to identify and measure adherent thrombocytes on polymer surfaces and, thus, might be successfully integrated in a high-throughput screening process to evaluate biomaterial hemocompatibility.