Neuroscience research is rife with difficulties. Neuron body counting is extremely labor-intensive and time-consuming and often subject to errors being made. Therefore the proportions and quantities of various cell types and features are very problematic to define accurately.
A lack of reproducibility and of quantitative or accurate data persists in fields like Parkinson’s research, warranting a need for new, more precise tools.
How does Aiforia enable neuroscience research?
Aiforia’s deep learning AI platform has successfully enabled the automation of a versatile, multi-layered range of analyses in a number of areas such as Parkinson’s disease, Alzheimer’s, Huntington’s disease and motor neurone diseases (MNDs) like ALS.
Aiforia enables you to automate neuron body counting, reducing the time required from 1 hour with manual methods, to a few seconds per section!
With Aiforia you can automate the detection of relevant regions of interest based on morphology, use external ground-truths to find these regions in precise locations, and visualize the feature of interest.
Watch the video to see how Aiforia Create can be used for the easy and fast quantification of dopamine neurons.
Neurons, for example TH+ neurons in nigral regions in rat brain
Quantitative activation states of microglia, astrocytes and motoneurons
To detect TH+ neuronal areas and plaques
Anatomical regions, regions of interest to count the cell of interest for example in the cortex or SNpc
Cells and cell processes for example of astrocytes, axons, dendrite or dendritic spines
Regression models predicting continuous values
Astrocyte reactivity, drug-dose response, and survival time