TOF-MS spectrometer / MALDI / for research / for proteomics
timsTOF fleX

Add to MyMedicalExpo favorites
Compare this product Don’t compare this product
TOF-MS spectrometer / MALDI / for research / for proteomics TOF-MS spectrometer / MALDI / for research / for proteomics - timsTOF fleX
  • TOF-MS spectrometer / MALDI / for research / for proteomics


  • Type:


  • Applications:

    for research, for proteomics

  • Other characteristics:



MALDI Guided SpatialOMx on the timsTOF fleX
A tumor is more than meets the eye
The microenvironment of cancers contains a combination of healthy cells, tumor cells, connective tissue, blood vessels, and inflammation in different ratios at different time points. Each of these components will have their own unique-molecular signature of compounds. Researchers who study disease states rely heavily on interpreting tissue pathology and creating these maps within the context of biomolecules bridges the gap between traditional OMICS and understanding disease.

SpatialOMx – the key to biomarker discovery
Cancer cells and other disease states have significant genetic and epigenetic modifications that influence the genomic expression cascade. Whether you’re looking at the proteome, lipidome or metabolome, the spatial distribution of compounds contains valuable Information for understanding your sample. If certain compounds are highly spatially concentrated or if molecules are co-distributed on specific structures, this vital information is missing when only examining homogenized samples. OMICS based biomarker discovery can be limited without the benefit of spatial information to add important contextual clues as tissue-level communications networks are integral to cancer growth.
Create your own Atlases of Intricate Interactions
Mapping complex molecular networks exposes intricate systems of interacting molecules within intracellular networks. Using SpatialOMx to create insightful atlases of communication mechanisms means learning more about the way cells communicate with each other to support change: