| TF | [Transfer Function - Defocus dependent] |
| TF C | [Transfer Function - Complex] |
| TF C3 | [Transfer Function - Complex 3D] |
| TF CT | [Transfer Function - phase flipping, Complex, Binary] |
| TF CT3 | [Transfer Function - Complex, Binary 3D] |
| TF CTS | [Transfer Function - 2D & 3D CTF correction] |
| TF D | [Transfer Function - Display] |
| TF DEV | [Transfer Function - Determine Envelope function] |
| TF DNS | [Transfer Function - Determine and delete Noise background] |
.IMAGE FILE: ro008
[Enter file name of 1D profile of power spectrum.]
.MAXIMUM SP. FREQ [A-1]: 0.171
[Enter the spatial frequency limit in 1/Angstroem units. The maximum
spatial frequency is 1/(2*pixel).]
.SEARCH NEIGHBOUR AREA [POINT]: 5
[This parameter controls the size of the local neighborhood that is
searched for local minima. For each point in the spectrum, N points
on either side are searched (total neighborhood = 2N + 1 pixels).]
IMAGE HAS FOLLOWING MINIMA
# 1, 28.0416489, 1.914100535E-2 (A-1) A = 3.936556168E-4
# 2, 58.7729225, 4.01179269E-2 (A-1) A = 2.553723752E-4
# 3, 83.1436234, 5.675316975E-2 (A-1) A = 2.277945168E-4
.CHANGE SEARCHING NEIGHBOUR (Y/N): n
[ If "Y", the above operation will be repeated. Smaller search areas may
identify noise as minima, resulting in spurious minima. Large search areas
can smooth out and overlook actual minima if they are too small. Increase
the search neighborhood if your data is very noisy; decrease it if you have
many small minima.]
.HOW MANY POINTS DO YOU WANT?: 3
[Enter the number of minima you want to include in the calculation.]
POINT # 1
.SP. FREQ. POINTS/ ABERRATION (PI): 28.0, -1
[Enter the grid point of the minimum, which is found in the second
column in the list of minima found by the program, and its
corresponding aberration value in units of pi. For underfocus, the
first minimum is -1, the second is -2, the next is -3, and so on.
For overfocus, the first minimum is zero, the second is 1, the next
is 2, and so on.]
POINT # 2
.SP. FREQ. POINTS/ ABERRATION (PI): 58.8, -2
POINT # 3
.SP. FREQ. POINTS/ ABERRATION (PI): 83.1, -3
.LAMBDA(ANGSTROEMS): 0.037
[Enter the wavelength of the electrons. The value used in
this example corresponds to 100kV.
A table of values is listed in the glossary under
lambda.]
.SPHERICAL ABERRATION CS [MM]: 2.0
[Enter the spherical aberration coefficient, in mm.]
DEFOCUS= 24278.6875 (Angstroms)
AMPLITUDE CONTRAST= 0.143490
.DO YOU WANT TO GENERATE A FILTER? (Y/N) : y
[This option can generate a 1D filter file which is used by
FD to correct the CTF.]
NOTES
fr
?image file ? ;input image <p1>
FR
?power spectrum file ? ;output power spectrum <p2>
X21=0
X42=200
DO LB1 X80=1,12 ;NUMBER OF PIECES HORIZONTAL DIRECTION
X41=120
DO LB2 X81=1,12 ;NUMBER OF PIECES IN VERTICAL DIRECTION
WI ;get small pieces of the input image
<1>
_1
(512,512) ;size of small pieces
X41,X42
RA ;CORRECT RAMP EFFECTS
_1
_2
X21=X21+1
PW ;CALC POWER SPECTRUM OF EACH SMALL PIECE
_2 ;CALC SQUARE ROOT OF POWER SPECTRUM
_3
SQ ;CALCULATE REAL POWER SPECTRUM
_3
pwa{****x21}
WI ;window central section of quick checking
pwa{****x21}
pwb{****x21}
(80,80)
(217,217)
X41=X41+256 ;50% OVERLAPPING WITH ITS NEIGHBOURS
LB2
X42=X42+256
LB1
AS R ;average over power spectra of small
pwa*** ;pieces
1-144
A
_1
_2
WU ;CALCULATE THE SQUARE ROOT OF POWER
_1 ;spectrum so it agrees with SPIDER
<2> ;CONVENTION
RE
© Copyright Notice / Enquiries: spider@wadsworth.org