An automated image analysis tool for quantitative studies of dynamic 3D-wound healing assays

• Applicant: Dr. Sabrina Roßberger
• Subject Area: Medical Physics, Biomedical Technology ; Biophysics
• Term: from 2016 to 2017
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 317276344

• Final Report Year: 2022

Final Report Abstract

The goal of the proposed project was the establishment of a 3D-in-vitro optical microscopy technique in combination with the development of unbiased algorithms for automated parametrization of the skin. Automatically describing the static and dynamic morphological and biophysical properties of a 3D-skin model will allow us to study the fundamental mechanisms of maintaining cell integrity within the tissue and during wound healing of the skin. During the duration of the grant allowance we worked on establishing the proposed 3D skin model. While working on the 3D skin model, the proposed image analysis pipeline was further developed and advanced based on spinning disc fluorescence microscopy images of collectively migrating malaria cells.

Publications

• “Quantitative image analyses of pattern formation during cellular migration”. IEEE International Symposium for Biomedical Imaging (18.04.2017 – 21.04.2017)
  Sabrina Rossberger