Brain neurons firing8/8/2023 To further complicate the process, investigators are often interested in identifying only a small subset of active neurons that overlap in different layers within the thousands of neurons that are imaged. ![]() ![]() Currently, the most accurate method requires a human analyst to circle every ‘spark’ they see in the recording, often requiring them to stop and rewind the video until the targeted neurons are identified and saved. ![]() While these measurements are useful for behavioral studies, identifying individual neurons in the recordings is a painstaking process. These recordings enable researchers to track which neurons are firing, and how they potentially correspond to different behaviors. To measure neural activity, researchers typically use a process known as two-photon calcium imaging, which allows them to record the activity of individual neurons in the brains of live animals. The research appeared this week in the Proceedings of the National Academy of Sciences. This new technique, based on using artificial intelligence to interpret video images, addresses a critical roadblock in neuron analysis, allowing researchers to rapidly gather and process neuronal signals for real-time behavioral studies. ![]() Biomedical engineers at Duke University have developed an automated process that can trace the shapes of active neurons as accurately as human researchers can, but in a fraction of the time.
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