FInd a mean image with multiple images

I have set of images, about 200, on particular object which are in grey-scale.

200 images have same dimension of matrix but has different values in cells

Here, I want to get a single image that has a mean image of 200 images.

So is there a way to compute a single mean image for 200 images?

-that is, 200 images of pixels at certain cell are added up and deivded by 200. (each cell have average pixel value)

<<Note-nfile-nbsp-naems-nbsp-are-nbsp-B00001-nbsp---nbsp-B00200-nreadimx-nbsp-function-nbsp-load-nbsp-raw-nbsp-data-nbsp-from-nbsp-the-nbsp-images-nbsp-with-nbsp-additional-nbsp-information-nbsp-on-nbsp-images.>>

Here is a code that brings a single image (found this works)

 img_path = 'E:\test\';
 im7_files = dir([img_path '*.im7']); 
 A1 = readimx([img_path im7_files(1).name]); 
 figure;imagesc(double(A1.Data));colormap jet;colorbar;

Here is a code that I tried to compute single mean images with 200 images.

 img_path = 'E:\test\';
 im7_files = dir([img_path '*.im7']); %load all im7 files
 for i = 1:length(im7_files);
 A1 = readimx([img_path im7_files(i).name]); %read all im7 files
 end
 figure;imagesc(double(A1.Data));colormap jet;colorbar;

I am not sure the figure it pop out is mean image or not.. if it isn't how can I fix it?