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Introducing TERSE/PROLIX (TRPX): Next-Gen Lossless Compression for Diffraction & Cryo-EM Data

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@senikm senikm released this 25 Sep 09:36
· 3 commits to master since this release

TERSE/PROLIX(TRPX) is an efficient compression and decompression algorithm for diffraction data.

TERSE/PROLIX(TRPX) allows efficient and fast compression of integral diffraction data and other integral grey scale data (cryo-EM) into a Terse object that can be decoded by the member function Terse::prolix(iterator). The prolix(iterator) member function decompresses the data starting at the location defined by 'iterator' (which can also be a pointer). A Terse object is constructed by supplying it with uncompressed data or a stream that contains TRPX data.