Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

In-service lubricant analysis serves both proactive and predictive roles. Proactive measurements—such as particle count, water content, glycol levels, viscosity, and acid number—concentrate on ...

Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy—a specialized imaging technique that looks for a change in the color of intense ...