MassWorks Software
MassWorks is a post-acquisition software platform redefines what’s possible with mass spectrometry by enhancing both mass and spectral accuracy—on the instruments you already own. Powered by patented...
Cerno Bioscience is a new privately funded company, dedicated to the practical application of modern mathematical techniques to Mass Spectrometry for the purpose of improving the quality, accuracy, and reliability of MS analysis. Founded and staffed by a team with over 80 years’ experience in the fields of instrumentation, mathematical data processing, life science applications and biotech business development, Cerno Bioscience is confident that its methodologies can provide significant improvements to all types of MS data.
MassWorks is a post-acquisition software platform redefines what’s possible with mass spectrometry by enhancing both mass and spectral accuracy—on the instruments you already own. Powered by patented...
Cerno’s GCID software transforms standard single quadrupole GC/MS instruments into powerful discovery tools. By combining spectral library matching, automated retention index (RI) calibration, and spe...
Cerno Bioscience is a new privately funded company, dedicated to the practical application of modern mathematical techniques to Mass Spectrometry for the purpose of improving the quality, accuracy, and reliability of MS analysis. Founded and staffed by a team with over 80 years’ experience in the fields of instrumentation, mathematical data processing, life science applications and biotech business development, Cerno Bioscience is confident that its methodologies can provide significant improvements to all types of MS data.
Cerno Bioscience has developed unique, patented technologies that can expand, enhance and greatly extend the utility of mass spectrometry in a number of established and evolving application areas including proteomics, quantitative and qualitative analysis for drug discovery and development and metabonomics. The technologies developed by Cerno Bioscience dramatically improve the amount of information obtainable from, and reduce the amount of time required on, many MS experiments.