Fast digital imaging

Riske, K.A. and Dimova, R. (2005) Timescales involved in electrodeformation, poration and fusion of giant vesicles resolved with fast digital imaging. Biophysical Journal, 88 (1), 241A-241A. 

One solution to the problem is to increase the ionization probability. This can be done by choosing primary ions with heavy mass, for example, Bi+ or even Ccarbon atoms. The noise level can also be reduced by techniques of digital image processing. For example, a fast Fourier transform technique has been used to remove noise from the image. This technique transforms an image from a space domain to a reciprocal domain by sine and cosine functions. Noise can be readily filtered out in such domain. After a reverse Fourier transform, filtered data produces an image with much less noise. 

The digital image processing method is a tool that permits a fast and accurate acquisition of information of mechanical properties. In conventional methods, these properties were investigated using uni-axial compression tests in laboratory. 

Other approaches have been reported for mixture analysis of digital images including the use of fast Fourier transform algorithms as a means of determining correlation coefficients [62]. 

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