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 language | English |
---|---|
Pages (from-to) | 553-561 |
Number of pages | 9 |
Journal | ACS Biomaterials Science and Engineering |
Volume | 7 |
Issue number | 2 |
Early online date | 22 Jan 2021 |
DOIs | |
Publication status | Published - 8 Feb 2021 |
Keywords
- in vitro testing
- Standardization
- fluorescence microscopy
- platelet analysis
- automation