Webinars

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Accelerating Neuron Image Analysis with Automation

The ability to examine complex neural processes relies on the accurate reconstruction of neuronal networks at scale. Most data extraction methods in neuroscience research are time-consuming and…

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…

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…

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…

Analyzing Non-metallic Inclusions in Steel

Oftentimes we find ourselves caught up in tedious analyses by reticle and comparison chart, time-consuming double-evaluation according to several standards or subjective inspection results with a bias…