Global Business Excellence Manager, Data & Analysis
BIOGRAPHY
Speaker
Abstract
3D morphological analysis of neurons often requires using different imaging modalities, capturing multiple types of neurons and inspecting neurons in a range of densities. These complexities make it difficult for neuroscientists to analyze morphological characteristics of neurons in densely populated neuronal images and remain a time-consuming challenge for many researchers.
Join us and explore how artificial intelligence (AI) can help researchers in complex neuroscience experiments. The latest advancement in of Aivia, powered by AI, provides improved soma detection, additional flexibility in neuron detection, 3D spatial measurement capabilities including Sholl analysis and much more. These robust applications combined into a single platform allows researchers to analyze challenging images and unlock insights into new discoveries.
Learning Objectives
- Improve soma partitioning in dense neuron images powered by AI tools
- Leverage 3D neuron tracing in Golgi-stained images to streamline your microscopy workflow
- Gain deeper insights with advanced charting options and 3D spatial analysis
Webinars will be available for unlimited on-demand viewing after live event.
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