Vision

Imaging or Vision is the classic technique for inspecting material and their components to evaluate sizes, shape, structure and “hidden” differences.

With micron sized materials this is usually performed using a lens or microscope and increasingly we apply image analysis, capturing the images with digital CCD detectors or cameras and using powerful software to process the very large number of images that can be captured. The latter arises as we capture representative samples or statistically useful numbers of images. Otherwise a single field of vew that is well prepared and well imaged, may be unrepresentative of the bulk of the sample.

The first choice presented to analysts is whether you need the detail, quality and flexibility of static imaging systems like Morphologi G3  or the convenience and speed of dynamic systems like FPIA 3000. The latter uniquely amongst dynamic imaging systems constrains the particle orientation, allowing the long axis to be viewed only, as shown in the graphic left below.

Then there is a trade off between the level of information you want to obtain versus the complexity of the analysing system. A simple sieve, for example, is cheap, low tech and quick and returns very little detailed information; while a Raman equipped imaging system gives chemical identity as well as size and shape information. Such a system requires a prolonged analysis that with significant computer power and automation to work properly.

Imaging & Vision - sheath flow    sizing complexity gypsum shape size

 Products  Technology
Morphologi G3  Image Analysis
FPIA 3000  Particle orientation webinar
G3 ID Sample preparation paper
Chemical Identification web page