Artifical Images for Evaluation of Segmentation Results: Bright Field Images of Living Cells

摘要

The automated image analysis is a powerful methodology for quantification microscopic images of living cells. But the proper and suitable indication of cells' body in various kinds of microscopic images of cells is still not easy to perform. In this paper the methodology how to construct artificial images simulating bright field microscopic images is introduced. Using the adjusted and simplified version of software SIM-CEP, prepared by Lehmussola and coworkers, proposed methodology is implemented and validated.