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Phil Keller's lab has a developed an open source compression format: .klb

It also has a FIJI/ImageJ reader.

You can find it on their lab's webpage here:
https://www.janelia.org/lab/keller-lab/software/efficient-processing-and-analysis-large-scale-light-sheet-microscopy-data

And in their Nature Protocols paper: Amat et al 2015

The paper is specific to lightsheet data, but the converter should work for
most data sets.

-Doug

On Mon, Mar 21, 2016 at 6:37 AM, Emmanuel Levy <[log in to unmask]>
wrote:

> *****
> To join, leave or search the confocal microscopy listserv, go to:
> http://lists.umn.edu/cgi-bin/wa?A0=confocalmicroscopy
> Post images on http://www.imgur.com and include the link in your posting.
> *****
>
> Dear All,
>
> I'm wondering if some of you may have suggestions regarding archiving large
> image datasets?
>
> So far I've come up to the conclusion that bzip2 is the most convenient
> compression solution to use because it's lossless and it works on any type
> of data (e.g., tif, stacks) and maintains the metadata.
>
> If anyone knows of good and easy to implement alternatives I'll be very
> happy to hear about it.
>
> Thanks,
>
> All the best,
>
> Emmanuel
>