Discover how Imaris 11 streamlines image analysis with automated workflows, reproducibility tools, and powerful batch processing.

Narrowed and blocked arteries can now be diagnosed faster and more accurately with the help of special computer-aided image analysis techniques. This advance was made possible by the development of ...

Wood species identification using image analysis techniques represents a burgeoning field that integrates advanced imaging technologies with machine learning algorithms to address critical challenges ...

Image decolorization and colour processing techniques represent a vital facet of digital image analysis, particularly as applications extend from digital printing and e‐ink displays to computer vision ...

More and more areas of medicine are relying on support from artificial intelligence (AI). This is particularly true for the wide range of questions based on the evaluation of image data: for example, ...

Biomedical Imaging and Cancer Engineering research revolves around the relentless pursuit of innovating and appraising novel imaging modalities and methodologies. This vast domain encompasses device ...

Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to determine the porosity of fibrous materials using a single image taken with ...

insights from industryFrancis Quintal LauzonDirector of Product and InnovationClemex Technologies This interview with Francis Quintal Lauzon, Director of Product and Innovation at Clemex Technologies, ...

A microphysiological system is a 3D in vitro model that mimics human tissue environments with high physiological relevance. This approach enhances our understanding of disease mechanisms, drug ...

ISO 21018-1 enhances contamination monitoring with Dynamic Image Analysis, enabling detailed particle shape analysis and improving hydraulic system performance.

How well do the algorithms used in the AI-supported analysis of medical images perform their respective tasks? This depends to a large extent on the metrics used to evaluate their performance. An ...