Additional data to the publication "Characterization of cell adhesion phenomena at the dental abutment/soft tissue interface by means of a dynamic cell culture model"

The paper describes the development of a flow chamber model for the assessment of cell adhesion strength under variable shear stress, her shown for human gingival cells to test cell adhesion phenomena under mechanical stress. This model is then applied in proof of principle experiments to two surface modification types that have promising surface properties and are intended for the application in dental Two types of datasets are provided: (1) raw image sets comprising combinations of microscopy images, each accompanied by corresponding metadata, and (2) processed datasets derived from individual physico-chemical measurements or on raw images. The 2nd datatype includes either basic statistical analyses—such as the calculation of means, standard deviations, standard errors, and associated statistical tests—or more advanced analyses performed through automated image processing. For the latter, the figures presented in the publication represent the results of image analyses conducted using custom-optimized macros. Each archive for each individual figure also contains the raw images, a data analysis file that compiles the raw output data generated by ImageJ, output of statistical tests as well as the respective final graphical representation. A detailed description of the data structure and image analysis workflow is provided in the accompanying README file. The macros used for image processing are published in Supplement 2 of the original publication. However, for convenience, they are also included here as standalone text files alongside a detailed instruction how to use the macros, assembled in the respective archive folder.