Clemex systems are present in research laboratories around the world, helping scientists get the results they need to further their field of study. Industry leaders and small scale enterprises also have success stories to share. Further your knowledge of image analysis by reading some of the scientific or industry articles below.


Design-Based stereology and binary image histomorphometry in nerve assessment

September 10, 2020

Stereological analysis was compared to histomorphometry with binary image analysis on uninjured sciatic nerves to determine nerve fiber number, nerve area, neural density, and fiber distribution.


Latest Clemex Webinars

September 11, 2020

Home > Learn > Page 3 Grain Size: Then and Now June 23, 2020 This webinar hosted by ASM International and presented by Marc Lavallée, Senior Business Development Manager at Clemex, examines the traditional methods of conducting grain size analysis compared with modern automatic methods using Clemex advanced image analysis solutions. In this video, a […]


Hardness Testers: High-Precision Products from Clemex

September 15, 2020

Home > Learn > Page 3 There is no such thing as a universal hardness tester – though the term is sometimes used as a marketing slogan to advertise high flexibility testing equipment. There are dedicated hardness testers for specific measurement methods and instruments that are compatible with multiple indentation probes and profiles. Some are […]


4 Different Methods of Hardness Testing

September 22, 2020

Home > Learn > Page 3 Hardness is defined as a measure of how well materials resist localized deformation, such as impacts, indents, or scratches. Although it is a well-understood physical property, it is much more complex than other characteristics in that it is relative to different types of loading forces. Essentially, hardness is only […]


Image Analysis Systems from Clemex

September 29, 2020

Home > Learn > Page 3 Industrial and research-grade microscopy is a critical yet labour-intensive process that can occupy hours of a skilled operator’s time. This incurs costs and saps resources from other areas of the workflow. Additionally, it is impossible to eliminate the margin for human error when dealing with manual microscopy. Many key […]