BeVision S1

1) Why Image Analysis Method?

• Easy
  Capture an image of particles, identify particles, then measure their size and shape. Every step of image analysis is easy and clear.

• Shape analysis
  Based on a direct view of particles, it is possible to analyze not only the size of particles, but also their shape. 

• Seeing is believing
  The image analysis method determines the size and shape of every individual particle and then sums it up to form a statistic. Details of particle size or shape distribution can be accurately provided.

2) Why Static Image Analysis Method?

• Clear vision
  In static image analyzers, precision microscopes and high-resolution cameras are specialized for high - quality particle images. 

• Undersized particle sensitivity
  The static image analysis method is sensitive to undersized particles; it is even possible to estimate the size of undersized particles.

• Small sample volume
  The static image analysis method requires a small volume of samples. A few drops of emulsions or a few micrograms of powders are enough to do a measurement.

3) Particle Size and Shape Parameters：

• Size parameters
  Equivalent diameters: area-equivalent diameter、perimeter-equivalent diameter;
  Feret diameters: maximum and minimum Feret diameters,  XLF ("length") ;
  Martin diameters: maximum and minimum Martin diameters;
  Legendre ellipse: major and minor axes;

• Shape parameters
  Size difference in 2 directions: aspect ratio、L/W ratio、ellipse ratio;
  Round-likeness and rectangle-likeness: Circularity、irregularity、compactness、extent、box ratio;
  Contour concavity: Concavity、convexity、solidity;
  For elongated particles: Elongation、straightness;

4) BeVision Software: Visualized Insights for You：

5) Typical Applications:

Image Analysis

The term “image analysis” is describing the mechanism: the image analyzer will capture an image of a 3-D particle first, then do the analysis based on the 2-D particle projection image. Depending on the movement state of particles during the measurement, the image analysis method is divided into 2 kinds: one is the dynamic image analysis method (DIA), and another is the static image analysis method (SIA).