The Research of Extracting Cell Region of Microscopy Image by Analyzing Cell Texture

Abstract

On the field of stem-cell research and drug discovery, to extract cell region from microscopy images and to perform accurate identification and screening of cells are needed. Since most of these works are done by hand, it takes a lot of time and cost. Moreover, there are done by multiple people, objectivity would be lacked. Therefore, automated processing by computer have been studied. This paper examines texture analysis and segmentation by Chan-Vese level set method of cell images where cells are crowded, and evaluate their results cell division identification point of view.