Dynamic Imaging Particle Analysis White Papers

Learn more about the FlowCam® and imaging particle analysis technology.  Click the title to download one of our informative white papers.

White Papers

  • Dynamic Imaging Particle Analysis: A Primer
    Measuring and analyzing particles is essential in a variety of applications, including water quality analysis and monitoring, chemical process analysis and monitoring in manufacturing, as well as pure scientific research. This white paper explores the methods for analyzing particles and discusses issues associated with particle analysis.
  • The Benefits of Light and Dark Pixel Thresholding
    Utilization of both light and dark pixel thresholding enables the detection and discernment of particulates ranging from opaque to transparent and improves the particle analyzer’s ability to detect, image, and analyze semi-transparent particles.
  • Resolution & Sampling Considerations
    The ability of an imaging system to resolve details in a particle is essential for accurate measurement. This paper discusses how the optical system and the sensor of an imaging system affect the ability of the instrument to size and characterize sub-visible particles, and what size particles this type of instrument is most effective for.
  • The Importance of Image Quality
    Imaging particle analyzers can differentiate particles in a heterogeneous mixture and classify them accordingly. The quality of the images captured directly affects the ability of the system to make proper measurements, and therefore affects the ability of the system to differentiate between different particle types. This paper discusses how image quality can affect particle measurement.
  • Pattern Recognition in Imaging Particle Analysis
    Pattern recognition techniques are used in imaging particle analysis to identify and differentiate types of particles in a heterogeneous solution. This paper discusses the theory behind pattern recognition techniques and how these are used VisualSpreadsheet® for automated particle identification.