Mass spectrometry imaging - a need for better compression

When an image is registered with full mass spectrum of each pixel, it results in enormous amount of data. Processing such datasets is a real problem. Therefore, a need for better compression algorithms is obvious. In latest Journal of Chemometrics [1] we can find a proposal of significant reduction of data size without the loss of interesting information.

Share on FacebookShare on LinkedInShare on Google+Tweet about this on Twitter


  1. C. Bedia, R. Tauler, and J. Jaumot, "Compression strategies for the chemometric analysis of mass spectrometry imaging data", Journal of Chemometrics, vol. 30, pp. 575-588, 2016.



Comments are closed