Automation of hemocompatibility analysis using image segmentation and supervised classification

Clauser, Johanna; Maas, Judith; Schmitz‐Rode, Thomas; Steinseifer, Ulrich; Berkels, Benjamin

doi:10.1016/j.engappai.2020.104009

Cited by 8 publications

(2 citation statements)

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“…First, an in vitro hemocompatibility test series was conducted to create a database for the later statistical analysis. In the second step, fluorescence microscopy was used for platelet imaging and a previously developed automated analysis method was applied for platelet counting . Finally, the statistical analysis of the relation between result and analyzed sample area was carried out.…”

Section: Methodsmentioning

confidence: 99%

“…All microscopy images were analyzed by means of a newly developed automated image analysis method. , In short, image quality was checked in a manual incoming inspection excluding images that were out of focus, overexposed, or heavily contaminated. Afterward, an image segmentation algorithm was applied to identify and parameterize all single components on every image.…”

Section: Methodsmentioning

confidence: 99%

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Hemocompatibility Evaluation of Biomaterials—The Crucial Impact of Analyzed Area

Clauser

Maas

Schmitz‐Rode

et al. 2021

ACS Biomater. Sci. Eng.

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%