What does HCA-Vision do?

HCA-Vision guides the user in the process of choosing optimal
parameters for the automated segmentation of neuron bodies and
neurites. It delivers quantitative measures and statistics that are
biologically relevant.

For example, the neurite outgrowth module of HCA-Vision
measures important morphological properties of neuronal cells,
such as:

Number of branching points
Total neurite length
number of branch layers
number of primary branches

View HCA-Vision Flash Presentation (4 MB)
The resolution of the presentation is 1280 x 1024, therefore it is recommended to be viewed in full screen mode (F11).

Right: Primary rat brain neurite showing a high degree of
complexity of neurite branching as measured by HCA-Vision.
Courtesy of Prof P Doherty, Kings College London
Neurite before analysis
Neurite after analysis
Software for High Content Analysis