Webinars

Separation of cells based on their tracking status: A colourised binary mask of a time-lapse microscopy field of view of medium confluency with individual cells highlighted as survivors if they can be tracked since the initial movie frame (cyan), incomers if they migrated into the field of view throughout the movie (yellow) or mistracks if an error occurred in the automated trajectory reconstruction (red).

Tracking Single Cells Using Deep Learning

AI-based solutions continue to gain ground in the field of microscopy. From automated object classification to virtual staining, machine and deep learning technologies are powering scientific…

Analysis of anatomy and axon orientation of an adult mouse brain tissue with QLIPP.

Learning the Cellular Architecture from its Optical Properties

In the last 3 years, microscopists have started to use "AI based" solutions for a wide range of applications, including image acquisition optimization (smart microscopy), object classification, image…

AI in Microscopy Webinar

We demonstrate residual channel attention networks for restoring and enhancing volumetric time-lapse (4D) fluorescence microscopy data.

How to Conduct Standard-Compliant Analysis of Non-Metallic Inclusions in Steel

This webinar will provide an overview of the significance of non-metallic inclusions in steel and outline the important global standards for rating the quality of steel and difficulties that arise in…

Industrial Microscopy: Digital imaging and the Leica DVM6

This webinar will discuss digital microscopy and Leica’s digital DVM6 microscope. We will navigate the difference between optical and digital magnification, explain the differences in optics, and…

Inverted Microscopes for Grain Size Analysis: Three Factors to Consider

Microscopic steel grain size analysis is useful in determining the quality of steel alloys for a given purpose such as building bridges vs railroad rails. This webinar will describe the preparation of…