Case Study: University of Helsinki accelerates Parkinson’s neuron counting with Aiforia

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Preview of the University of Helsinki Case Study

University of Helsinki cuts neuron counting time by 99% with Aiforia

Researchers at the University of Helsinki faced significant challenges in quantifying neurons to study Parkinson's disease. The manual method, stereology, was extremely time-consuming and produced variable results due to human inconsistency, which hampered their research into new therapies. They collaborated with Aiforia to overcome these limitations using the Aiforia Create software on the Aiforia Cloud platform.

By leveraging Aiforia's AI, the team automated the analysis of brain sample images. The results were transformative: a task that took 45 minutes manually was completed in just 5 seconds, accelerating the process by almost 99%. This Aiforia solution provided instant, consistent, and accurate cell counts, freeing up researchers to focus on other critical work and significantly speeding up their research timeline.


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