HyperStack guidance? (Java plugin/ API)

Posted by Kenneth Sloan-2 on Feb 11, 2021; 6:43pm
URL: http://imagej.273.s1.nabble.com/HyperStack-guidance-Java-plugin-API-tp5024450.html

Many of my plugins deal with volume data (approximately 1500x750x100 - 1500x750 images, 100 slices).
For those for whom it might matter - these are OCT images of human retina.

I now need to process time sequences, (xyz)t - I estimate 2-50 time points.  (these would be several imaging sessions ("visits")).  The subsequent visits are (claimed to be) registered with the first  visit.  If it turns out they are not...I can deal with that.

The images are all single channel grayscale images (32-bit floats) - but this is negotiable.  In particular, I could probably make do with 8-bit samples.

My question is: is this a good fit for the ImageJ HyperStack mechanism?  My only doubts come from the frequent phrase "must be RGB" I have seen while superficially browsing the documentation.  This may be because the documentation appears to refer to specific interactive tools, where multiple channels appear to be very important.

I'm primarily interested in programatic manipulation in Java plugins.

Going further...my current usage involves a Extension to StackWindow (and ImagePlus) to link a displayed volume with yet another stack of images (not a "volume" - just a stack of related images - these are all "en face" images).  So, I anticipate that I might want to make similar extensions to deal with a displayed HyperStack.  This is desirable - but probably not essential, if it matters.
Actually, I can see a case for making *that* stack into a HyperStack - again adding a "visit" time parameter.

I would appreciate guidance on what parts of the ImageJ API I should pay attention to.  Where should I start?  I suppose I'm hoping for something analogous to a StackWindow API ("HyperStackWindow"?).  

Examples of Java code dealing with a similar situation ((xyz)t images - no "channels") would be pure gold.

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Kenneth Sloan
[hidden email]
Vision is the art of seeing what is invisible to others.

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