Unlock the potential of your microscopy data using fast and big data capable AI Segmentation in Imaris

17:10 – 18:10 BST, 5 June 2024 ‐ 1 hour

Oxford Instruments Andor

Anna Paszulewicz

Workshop Room 4B

In this workshop you’ll learn how to streamline and leverage your image analysis with the AI segmentation tools (machine learning). In Imaris 10.1, a native, AI Trainable pixel classifier is an integral part of its big-data-capable Surface segmentation model (100s of GBs). 

During this workshop we’ll present the unique features of Imaris AI segmentation:

• Efficient training on thick slices (visualizing biological structures) 
• Superfast predictions preview 
• Fast computations for big datasets (100s of GBs)

In addition, you’ll learn some best practices in how to use AI Segmentation Tool and how to use it on multiple images (with retrain option).

The AI Segmentation in Imaris is very easy to use even for the novices in image analysis, as the user only needs to define the interesting object and the background with a few brush strokes, which Imaris uses to learn the patterns and segment the data accordingly. Users can immediately see what the software has learned from their brush strokes, and correct if necessary. This robust tool can be applied to segment microscopy data representing samples from multiple disciplines from cell biology, organoid studies to neuroscience.