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http://rsb.info.nih.gov/ij. ImageJ. An adaptation of NIH image for the Java platform. Can run on any computer systems that can run Java (Sun Microsystems) Open source Two powerful scripting languages Java Plugins Macro Language Continual Upgrades Active community of several thousand users.
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ImageJ • An adaptation of NIH image for the Java platform. • Can run on any computer systems that can run Java (Sun Microsystems) • Open source • Two powerful scripting languages • Java Plugins • Macro Language • Continual Upgrades • Active community of several thousand users
Examples Using Basic Operations • Work with confocal microscope stacks • Color merge • 3D visualization • Smoothing Background with Bandpass filter. (uses FFT routines) • Quantitation of cellular nuclear stain.
Two Processing Steps • Split out the color channels and save one. Image>Color>RGB Split • Run the Process>FFT>Bandpass filter
Note the difference in clarity of among the three channels. Blue, in particular is out of focus. We’ll work with the green channel only
The essential principle is that one can consider a continuously varying background to be a low frequency component of the image. Fourier processing allows one to isolate specific frequency ranges and remove them from the image.
For more information, the web site is http://rsb.info.nih.gov/ij