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fold_slice/tomo/+tomo/get_FSC_from_subtomos.m
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% GET_FSC_FROM_SUBTOMOS calculate Fourier shell correlation between two subtomograms
%
% [resolution FSC T freq n FSC_stats] = get_FSC_from_subtomos(tomograms, FSC_vertical_range, rad_apod, radial_smooth, axial_apod, SNRt,thickring, par)
%
% Inputs:
% **tomograms - 2x1 cell containing 2 tomograms to be compared
% **FSC_vertical_range - vector of the selected layers for FSC
% **rad_apod - radial apodization of the tomogram volumes
% **radial_smooth - smoothness range of the radial apodization
% **axial_apod - apodizaton along vertical axis
% **SNRt - signal threshold for FRC resolution
% **thickring - thickness of FSC shells
% **par - tomo parameters structure
%
% returns:
% ++resolution [min, max] resolution estimated from FSC curve
% ++FSC FSC curve values
% ++T Threshold values
% ++freq spatial frequencies
% ++stat stat - structure containing other statistics such as
% SSNR, area under FSC curve. average SNR, ....
% ++fsc_path path to store the FSC curves
%
%*-----------------------------------------------------------------------*
%|                                                                       |
%|  Except where otherwise noted, this work is licensed under a          |
%|  Creative Commons Attribution-NonCommercial-ShareAlike 4.0            |
%|  International (CC BY-NC-SA 4.0) license.                             |
%|                                                                       |
%|  Copyright (c) 2017 by Paul Scherrer Institute (http://www.psi.ch)    |
%|                                                                       |
%|      Author: CXS group, PSI  |
%*-----------------------------------------------------------------------*
% You may use this code with the following provisions:
%
% If the code is fully or partially redistributed, or rewritten in another
% computing language this notice should be included in the redistribution.
%
% If this code, or subfunctions or parts of it, is used for research in a
% publication or if it is fully or partially rewritten for another
% computing language the authors and institution should be acknowledged
% in written form in the publication: “Data processing was carried out
% using the “cSAXS matlab package” developed by the CXS group,
% Paul Scherrer Institut, Switzerland.”
% Variations on the latter text can be incorporated upon discussion with
% the CXS group if needed to more specifically reflect the use of the package
% for the published work.
%
% A publication that focuses on describing features, or parameters, that
% are already existing in the code should be first discussed with the
% authors.
%
% This code and subroutines are part of a continuous development, they
% are provided “as they are” without guarantees or liability on part
% of PSI or the authors. It is the user responsibility to ensure its
% proper use and the correctness of the results.
function [resolution FSC T freq n FSC_stats, fsc_path] = get_FSC_from_subtomos(tomograms, FSC_vertical_range, rad_apod,radial_smooth,axial_apod,SNRt,thickring,par)
Npix = size(tomograms{1});
utils.verbose(struct('prefix', 'FSC'))
for ii = 1:2
auxtomo{ii} = utils.apply_3D_apodization(tomograms{ii}(:,:,FSC_vertical_range(end:-1:1)), rad_apod, axial_apod);
if ii == 1
% ignore empty regions
tomo_ROI = get_ROI(any(auxtomo{1} ~= 0,3));
end
auxtomo{ii} = auxtomo{ii}(tomo_ROI{:},:);
end
if ishandle(4); close(4); end % force closing and reopening on the front
plotting.smart_figure(4)
subplot(1,2,1)
img_tmp = rot90(squeeze(tomograms{1}(:,ceil(Npix(1)/2),end:-1:1)),1);
imagesc(img_tmp);
caxis(math.sp_quantile(img_tmp, [1e-2, 1-1e-2], 10))
hold on
plotting.hline(FSC_vertical_range(1)+axial_apod/2, 'r')
plotting.hline(FSC_vertical_range(end)-axial_apod/2, 'r')
plotting.vline(rad_apod+radial_smooth/2, 'b')
plotting.vline(Npix(1)-rad_apod-radial_smooth/2, 'b')
hold off
% caxis([4,5.3]*1e-3)
axis xy equal tight
colormap bone
title('Selected FSC range')
subplot(1,2,2)
Npix_aux = size(auxtomo{1});
img_tmp = rot90(squeeze(auxtomo{1}(:,ceil(Npix_aux(1)/2),:)),1);
imagesc(img_tmp);
caxis(math.sp_quantile(img_tmp, [1e-2, 1-1e-2], 10))
colormap bone
hold on
plotting.vline(radial_smooth, 'b')
plotting.vline(Npix_aux(1)-radial_smooth, 'b')
hold off
axis xy equal tight
title('Input to FSC')
if par.windowautopos
win_size = [1000 600];
screensize = get( groot, 'Screensize' );
set(gcf,'Outerposition',[150 min(270,screensize(4)-win_size(2)) win_size]);
end
drawnow
if ~par.online_tomo && ~debug() && strcmpi(input('Accept FSC region (Y/n)? ','s'),'n')
utils.verbose(-1,'Manually adjust FSC_vertical_range / axial_apod / rad_apod')
return
elseif ~debug()
try
fsc_path = fullfile(par.output_folder, sprintf('FSC_region_S%05d_S%05d_%s_freqscl_%0.2f-%s',...
par.scanstomo(1),par.scanstomo(end),par.filter_type,par.freq_scale,datetime('today')));
print('-f4','-deps', [fsc_path, '.eps'])
print('-f4','-dpng', [fsc_path, '.png'])
utils.verbose(-1,['Saved preview to ', fsc_path])
catch
warning('FSC region plot was not saved because figure 4 is missing')
end
end
utils.verbose(-1,'Fourier shell correlation')
[resolution FSC T freq n FSC_stats] = utils.fourier_shell_corr_3D_2(auxtomo{:},par,'dispfsc',true,'SNRt',SNRt,'auto_binning',true, 'thickring', thickring,'figure_id',45);
drawnow
fsc_path = fullfile(par.output_folder,sprintf('FSC_curve_S%05d_S%05d_%s_freqscl_%0.2f-%s',par.scanstomo(1),par.scanstomo(end),par.filter_type,par.freq_scale,datetime('today')));
if ~debug() % ignore in automatic tests
print('-f45','-deps', [fsc_path, '.eps'])
print('-f45','-dpng', [fsc_path, '.png'])
utils.verbose(-1,['Saved FSC curve to ', fsc_path])
if par.online_tomo
fsc_path_online = sprintf('%s_FSC_tomo.png',par.online_tomo_path);
print('-f45','-dpng',fsc_path_online)
system(sprintf('convert -trim %s %s', fsc_path_online, fsc_path_online));
end
end
utils.verbose(struct('prefix', 'template'))
end