Particle Size, Shape and Identification with the Hound Platform

The Hound particle characterization platform from Unchained Labs is an advanced tool that merges Raman spectroscopy, laser-induced breakdown spectroscopy (LIBS), and microscopy to size, count, and ID particles by their elemental or chemical fingerprints.

Uniquely outfitted with all these capabilities in a single instrument, Hound collects all the information that users need about their particles, in just a few minutes.

  • Size
  • Shape
  • Count
  • Elemental ID
  • Chemical ID

Identify Particles with the Hound Particle Characterization Platform

Key Applications

  • Visible and subvisible particle counting and identification 
  • Particle characterization in wet samples or powder dispersions
  • Particle characterization by size and morphology
  • Root cause analysis and identification of contaminants or unknown particles
  • Identify particles by Raman and/or laser-induced breakdown spectroscopy (LIBS) 

Key Features 

  • 532 nm Raman, 785 nm Raman, and LIBS in a single instrument
  • Up to 50X microscopic imaging in bright and dark field
  • Image capture at 5.1 megapixels
  • Measures particles between 2 microns and 15 mm
  • Identifies particles by Raman as small as 2 microns
  • Identifies particles by LIBS as small as 20 microns
  • Size and/or morphology-directed particle identification
  • Manual or automated operational modes
  • Up to 4 samples analyzed in an automated experiment
  • Gold-coated filters and glass surface, which improve signal/noise and are Raman inactive
  • Guided software for manual or automated particle identification with Raman and/or LIBS
  • User-defined, transferrable experimental methods to store and share experiment parameters 
  • Built-in data integrity checks with experiment, method, database, and report file validations
  • 21 CFR part 11 compliance tools included
  • Preloaded with 532 nm Raman, 785 nm Raman, and LIBS spectral information for 200+ common particles
  • Expandable and customizable spectral reference library to refine identifications

Other Equipment