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Confocal laser scanning microscopy (CLSM) is one of the common equipments being used to observe the intracellular substances like nitric oxide (NO) and calcium ions (Ca2+). The intracellular substances detection relies on the proper analysis of the fluorescence images obtained by CLSM. At present, the outlines of the cells in CLSM images from fluorescence are manually drawn by judging the contrast between the object and the background. This method is subjective and may have the possibility of inaccuracy. In this paper we have designed a technique based on digital imaging processing to automatically detect the outlines or contours of the cells and assess the production of NO labeled by fluorescence probes. The developed technique was tested on a series of images obtained from CLSM and the spread of NO during the time course was satisfactorily estimated.
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