A comparison of image deconvolution algorithms applied to the detection of endocytic vesicles in fluorescence images of neural proteins.

In this work we present a comparative study of three image deconvolution methods applied to fluorescence images of neural proteins. The purpose of this work is to compare the efficiency of these methods, in order to establish which one performs better the restoration of this type o image. Moreover we show that image deconvolution improve not only image quality, but detection capabilities and thus the counting of endocytic vesicles.