Tutorials
Below are lecture recordings and sample files from the Microscopy Workshop this past summer.
Module 1: Introduction
Why should one learn automated image processing?
Case study on how automated image processing can save time & effort
Cautions with digital image processing
Please go here to view tips for imaging at optimal imaging settings.
Module 2: Removing background & noise, carrying out particle analysis
Module 3: Deconvolution, 3D visualization and colocalisation analysis
Module 4: Macro Programming
Useful Bits of Code
Select a particular image:
selectWindow(“imagename”);
Select a particular slice in a stack:
setSlice(#);
Pause and wait:
waitForUser(“instructions here”);
To close a window:
run("Close"); or close();
Get the name of an image:
t=getTitle;
To run a block of code on a number of stacks:
for (i=1; i<=nSlices; i++){ insert lines of code }
Please feel free to contact us if you have any questions, comments or suggestions.