Hemocompatibility Evaluation of Biomaterials: The Crucial Impact of Analyzed Area

Johanna Clauser* (Corresponding Author), Judith Maas, Jutta Arens, Thomas Schmitz-Rode, Ulrich Steinseifer, Benjamin Berkels

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
87 Downloads (Pure)

Abstract

The hemocompatibility of blood-contacting medical devices remains one of the major challenges in medical device development. A common tool for the analysis of adherent and activated platelets on materials following in vitro tests is microscopy. Currently, most researchers develop their own routines, resulting in numerous different methods that are applied. The majority of those (semi-)manual methods analyze only a very small fraction of the material surface (<1%), which neglects the inhomogeneity of platelet distribution and makes results hardly comparable. Within this study, we examined the relation between the fraction of analyzed sample area and the platelet adhesion result. By means of image segmentation and machine learning algorithms, 103 100 microscopy images were analyzed automatically. We discovered a crucial impact of the analyzed surface fraction and thus a misrepresentation of a surface’s platelet adhesion unless up to 40% of the sample surface is analyzed. These findings underline the necessity of standardization in the field of in vitro hemocompatibility tests and analyses in particular and provide a first basis to make future tests more reliable and comparable.
Original languageEnglish
Pages (from-to)553-561
Number of pages9
JournalACS Biomaterials Science and Engineering
Volume7
Issue number2
Early online date22 Jan 2021
DOIs
Publication statusPublished - 8 Feb 2021

Keywords

  • in vitro testing
  • Standardization
  • fluorescence microscopy
  • platelet analysis
  • automation

Fingerprint

Dive into the research topics of 'Hemocompatibility Evaluation of Biomaterials: The Crucial Impact of Analyzed Area'. Together they form a unique fingerprint.

Cite this