Research on positioning large quantities of cells

In order to quickly operate large quantities of cells and obtain optimized operation sequence, it is ideal to get location information of overall cells to be operated. Therefore this paper collects low-resolution microscopic images in which we can observe a large sum of cells. To obtain their accurate locations, this paper puts forward Improved Circle Similarity Algorithm for solving the problem of positioning large quantities of cells, which improves the Circle Similarity Algorithm. The method has been applied into experimental environment and its results in positioning accuracy, positioning precision and image rotation invariance aspects meet the need of application in the micro-manipulator systems. The method successfully solves the problem of positioning large quantities of cells in microscopic images.