Store your images in a 3D matrix and calculate all your stats in one go using mean, std, etc. on the 3rd dimensions:
numimages = 99
stem = 'E:\29th April New\NEW Gain=99_No Delay_ Gate=0.02_0';
for gating = n1:n2
stemgating = sprintf('%s%d', stem, gating-1);
LIIimages = cell(1, numimages); %storing in a cell array, to be converted to 3D matrix later on
for imgindex = 1:numimages
imxstruct = readimx(fullfile(stemgating, sprintf('B%05d.im7', imgindex)));
img = imxstruct.Frames{1}.Componenets{1}.Planes{1};
LIIimages{imgindex}= imrotate(img, -90);
end
%convert cell array to 3d matrix
LIIimages = cat(3, LIIimages{:});
%calculate stats:
meanimg = mean(LIIimages, 3);
stdimg = std(LIIimages, 0, 3);
%... do more stuff
end
Note that I'm storing the images temporarily into a cell array. This avoids having to hardcode the size of the images (the alternative is to predeclare the 3D array with zeros(1024, 1280, numimages))
Also note, that I've fixed the problem with you not being able to create properly the name of the first 9 buffer images by using sprintf with a format string that says to prepend the number with enough zeros to have 5 digit (the '%05d')
