Successful developments in material sciences are, in part, dependant on the ability to characterize physical morphology and heterogeneous chemical groups at milli-, micro- and nanolevels. Imaging systems ranging from standard microscopy to new spectral imaging systems can generate information-dense data sets which are quantitative and highly spatially and temporally resolved. Proper management, analysis and representation of these data sets are critical to their efficient use.
This tutorial, which will be held in the spirit of a laboratory class where participants are expected to take notes and work on exercises that will be provided, presents an image-analysis workshop using powerful open-access image-analysis software, ImageJ.
Participants will gain hands-on experience to analyse sample data sets which include 2D, 3D images and videos. Various concepts will be covered related to: 1) setting up your workspace environment, 2) image display enhancements, 3) image manipulation and analysis and 4) special topics. Specifically, participants will learn:
- File management, manipulation of bit-depth, global image calibrations
- Look-up tables, image overlays, stacking images (for time series, z-stacks, λ-stacks)
- Image calculations, intensity profiles, background correction for uneven lighting situations and recording simple macros, and batch editing
- In addition, participants are encouraged to bring their laptops preloaded with imageJ software which can be freely downloaded at http://rsb.info.nih.gov/ij/download.html.
- Example files will be made available to participants during the session.
Jesse Greener, Laval University