Deconvolution
Sample: single EM of K2O.7Nb2O5 at 1.9Å resolution without ED data

Before performing image deconvolution we should first inspect the CTF (contrast trnafer function) curve, which describes the variation of CTF against h (the length of reciprocal vector h). To calculate the CTF curve, open the average image (see the left sub-window in the figure below). Click the CTF button on the toolbar. The first dialog box will ask for the electron microscope parameters. The second dialog box asks the defocus value. Put in the value found in "search for defocus" (-900Å). The CTF curve will then appear as showm on the right sub-widow.

Numbers along the abscissa are values of h in Å-1. Numbers along the ordinate are values of the contrast transfer function. As is seen the curve goes through the abscissa twice within the resolution limit of the original image (1.9Å). Small values of CTF lead to abnormally large structure factors (see Introduction of image deconvolution). To avoid this, VEC allows the user to set a cutoff for small CTF values. Given a cutoff value x meas to reject all reflections with their reciprocal-vector length h corresponding to a CTF value in between -x and +x. The cutoff value is input in the following dialog box (see the highlighted data box with a pointer on it).

In the present example we have tried different cutoff values from 0.1 to 0.6 with steps 0.1. The first two values led to images difficult to interpret. Other values gave similar images, which are easy to interpret. In the following we take the result from the cutoff value 0.4. Now the image resolution will no longer be 1.9Å, it will be just slightly better than 3Å (see the CTF curve).

The image deconvolution is completed as below. Make the image window (on the left of the following figure) the current window. Click the button 'Deconvolute' . Input the defocus value (-900) and other electron optical conditions as well as the threshold for the CTF. The deconvoluted image will then appear (on the right). The green lines are unit cell borders which can be shown or hid using the corresponding function in the pulldown menu 'Image'.