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THY1-EGFP labeled neurons in mouse brain processed using the PEGASOS 2 tissue clearing method, imaged on a Leica confocal microscope. Neurons were traced using Aivia’s 3D Neuron Analysis – FL recipe. Image credit: Hu Zhao, Chinese Institute for Brain Research.

Unlocking Insights in Complex and Dense Neuron Images Guided by AI

The latest advancement in Aivia AI image analysis software provides improved soma detection, additional flexibility in neuron tracing, 3D relational measurement including Sholl analysis and more.
Electric car or EV car charging in station. Eco-friendly alternative energy concept.

Alternative Fuels and Why Sustainable Solutions are Important

The role of alternative fuel vehicles and why sustainable solutions are of increasing importance for the automotive industry are explained in this free on-demand webinar.
Electric car - generic 3d rendering

Technical Cleanliness in the Automotive Industry for Electromobility

This free on-demand webinar covers the increasing focus on technical cleanliness in the automotive industry for electromobility and the VDA 19.1 revision.
Protist Paramecium (Paramecium tetraurelia) stained to show the nucleus

3D Spatial Analysis Using Mica's AI-Enabled Microscopy Software

This video offers practical advice on the extraction of publication grade insights from microscopy images. Our special guest Luciano Lucas (Leica Microsystems) will illustrate how Mica’s AI-enabled…
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.
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