Neurite Outgrowth
Neurons are the primary components of nervous tissues, consisting of a cell body, dendrites, and an axon.
The search for therapies for neurodegenerative injuries and disorders such as Alzheimer’s and Parkinson’s diseases present researchers and pharmaceutical companies with huge challenges (Wang, et al., 2010). In-vitro studies of neuronal development in normal and disease states is a vital tool in this search and involves complex image acquisition and analysis protocols. Key metrics include neurite growth, branching points, and neurite termini, requiring advanced computational tools (Meijering, 2010).
The Image-Pro Neurite Outgrowth protocol simplifies the analysis of large, complex datasets, such as multi-well plates, with little to no image analysis experience.
Techniques: Fluorescence
How it works
Select Channel
Select the channels that contain labeled nuclei and labeled neurites.
Find Nuclei
Find nuclei with a pre-trained deep learning model, machine learning, or threshold segmentation.
Find Cell Bodies & Neurites
Find cell bodies with simple sliders. Find neurites with either a pre-trained deep learning model or simple sliders.
Quantitative results
Automatically generate tables, heat maps, charts and even complex bespoke reports.
Measurement parameters supported
- • Total Neurite Length
- • End Point Count
- • Branch Count
- • Nuclei Count
- • Custom user defined measurements
Solution requirements
Required Modules
Base
2D Automated Analysis
Cell Biology Plus Protocol Collection
Neurite Outgrowth Protocol
AI Deep Learning
Life Science Models
Fluorescent Dendrites Model
Recommended Package
