I have code which reads-in a time series of 46 images, each 2400x2400 matrices. I have a variable 'k' which is a 10000x2 matrix which contains row/column locations of cells within the 2400x2400 matrices that I need to isolate. (In 'k': column 1....

I am in need of help in executing the following task.

I have code which reads-in a time series of 46 images, each 2400x2400 matrices.

I have a variable 'k' which is a 10000x2 matrix which contains row/column locations of cells within the 2400x2400 matrices that I need to isolate. (In 'k': column 1 contains row locations and column 2 contains the corresponding columns).

My end goal is a 1x10000x46 matrix which contains only the information from the 2400x2400 matrices which corresponds to the the cell locations specified in 'k' (for the 46-image time series).

Please let me know what additional information I can provide.

Thank you very much.

Answer 1

[Matt J]

timeseries=rand(2400,2400,46);

idx=sub2ind([2400,2400],k(:,1),k(:,2));

T=reshape(timeseries,[],46);

result=permute(T(idx,:),[3,1,2]);