EDS Mapping for TEM applications

Spectral mapping should be a central tool of every EDS system - it is with AZtec

Smart Mapping

SmartMap spectral mapping brings the benefits of automatic qualitative analysis into two dimensions to identify elements and visualise their distributions.

  • The traditional ‘Windows Integral’ mapping method
  • Maps are automatically generated
  • Elements may also be manually defined
  • Mapping resolution up to 4k pixels
  • All the informtion is saved at every pixel for post-processing


At the click of a button, AutoLayer takes the often complex information contained in a set of X-ray maps and turns it into a single image that helps visualise both phase and element distribution in the specimen.

  • Instantly and automatically interprets your specimen
  • Colours automatically selected to highlights what’s important in a single image
  • Unravels the complexity of real specimens

EELS Integration

Superfast EELS integration delivers accurate simultaneous data acquisition. AZtec is capable of working at speeds well in excess of 1000 spectra per second.

  • Seamless integration with Digital Micrograph™
  • Fastest acquisition possible
  • Easy switching between integrated and stand-alone modes.
  • Highest EDS collection efficiency


TruMap is a unique real-time mapping solution that removes background and peak overlaps on the fly.

  • Eliminates erroneous data automatically
  • Corrects overlaps such as:
  • Si K and W M lines - vital to the semiconductor indusry
  • Pb M, Mo L and S K for minerals analysis
  • Can be applied to legacy data


QuantMap displays real quantitative chemical X-ray maps by recalculating SmartMap data to correct for X-ray background, peak overlaps, sample matrix effects and pile up artefacts. QuantMaps can be calculated and displayed on-line - eliminating the need to reprocess SmartMap data off-line.

  • Display results in atomic%, weight%, oxide% or atomic concentration
  • Export data to spreadsheet


AutoPhaseMap creates a phase map of the specimen using statistical measures to optimise phase groupings rather than clustering or principle components. It provides an unrivalled qualitative and quantitative analysis of automatically identified phases.

  • Distribution of each phase
  • Spectrum, composition and area fraction for each phase
  • Finds phases for all size ranges, including nanomaterials
  • Finds elements which are present in trace amounts