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 accura...

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Bibliographic Details
Published in2010 8th World Congress on Intelligent Control and Automation pp. 6331 - 6336
Main Authors Cheng Sun, Xin Zhao, Mingzhu Sun, Guizhang Lu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2010
Subjects
Accuracy
Automation
Image edge detection
Merging
Micro manipulation
Microscopic image processing
Microscopy
Pixel
Positioning cell
Target recognition
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Summary: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.
DOI:10.1109/WCICA.2010.5554356