Automatic segmentation of lung cancer cells with the new parameters by using methods of image processing and analysis
Modern diagnostic methods allow to get multiple information regarding research material. This work focused on the development of an algorithm for automatically determining the correct number of cells. The developed tool allows the detection of cells as individual objects, searching for the objects significantly larger than the sought and checking if they were a combination of objects. The algorithm was based on additional parameters designated in its subsequent steps as well as their respective correcting claimed searched result. Analyzed a large number of images, it was found that there is a close relationship between the surface area of the cells, the degree of extension and the location and correct detection of objects that are neither a cluster of cells, and nothing significant image artifacts. The developed algorithm was written using Matlab software.
Keywordsimage processing algorithms automatic lung cancer cell culture cell migration
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