Webinars

Take a look at our upcoming and on-demand webinars. Join us at one of our next events!

Take a look at all our upcoming congresses, exhibitions, webinars, and workshops and join us at one of our next events!

All events

17 Jun 2025

Cell Mapping with Advanced Multiplexing & Spatial Profiling

United States • Webinar

17 Jun 2025

Live Webinar “Breaking Speed Barriers: Unveiling Biological

• Webinar

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…

Image of fixed U2OS cell expressing mEmerald-Tomm20 denoised using a 3D RCAN model trained with matching low and high SNR image pairs acquired on an iSIM system.

AI Microscopy Image Analysis – An Introduction

Artificial intelligence-guided microscopy image analysis and visualization is a powerful tool for data-driven scientific discovery. AI can help researchers tackle challenging imaging applications,…

H&E stained micrograph of an intramucosal esophageal adenocarcinoma (left) enhanced with Aivia’s Pixel Classifier (right)

Simplifying the Cancer Biology Image Analysis Workflow

As cancer biology data sets grow, so do the challenges in microscopy image analysis. Aivia experts cover how to overcome these challenges with AI.

Single timepoint of a time-lapse recording of mammary epithelial micro spheroid cultured in 3D highlighting individual mitotic events

Observing Complex Cellular Interactions at Multiple Scales

Learn how to observe challenging cellular interactions with easy to deploy object detection and relationship measurements.

Aivia_Neuroscience-VBE comparison mouse-1_traced_ROI

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…