Rapid Determination of Surface Colour, Texture, Shape and Size

Microscopy & microtechniques

Rapid Determination of Surface Colour, Texture, Shape and Size

13 Mar, 2019

Published over 7 years ago. See the latest and most current information on Microscopy & microtechniques.

The VideometerLab 4 from Analytik is a multispectral imaging and automated visual measurement system designed for fast and accurate determination of surface colour, texture, shape, size and chemical composition.

The easy-to-use instrument provides a rapid assessment of uniform and non-homogeneous samples by combining information on all of the above parameters automatically in just a few seconds, requiring no sample preparation and leaving the sample intact. A new Autofeeder option allows pre-built calibration models to be loaded and applied to larger sample sets for automated analysis.

Traditionally, non-destructive investigation of materials with non-uniform colour and texture can be difficult, tedious and expensive. Conventional techniques such as NIR spectroscopy only measure a single point or average over a fixed area and do not give an objective overall assessment of visual quality.

Studies show that VideometerLab 4 is as accurate as a test panel with significantly higher repeatability, removing subjective judgement. Specific areas of special interest such as shape, size or texture can be studied automatically.

Drawing upon customer feedback the VideometerLab 4 is the latest version of this popular vision-based lab analyser. The system integrates illumination, camera, and computer technology with advanced digital image analysis and statistics to provide a rapid assessment of uniform and non-homogeneous samples.

Using strobed LED technology VideometerLab 4 combines measurements at up to 20 different wavelengths into a single high-resolution multispectral image. Every pixel in the image is a spectrum and the system can include wavelengths outside the range detected by traditional RGB technology.

For further information please click here.

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