Twenty-five years ago, the photography industry underwent a revolution with digital cameras utilizing CMOS chips. This technological advancement soon extended to medical imaging, replacing traditional films with digital CMOS sensors. The digital nature of these images allowed for enhanced processing capabilities, including AI algorithms that now outperform the best radiologists in diagnostics.
Similarly, CMOS technology has been adapted to record small electrical signals in neuroscience, enabling the capture of neuronal network signals at a spatial resolution of 5-10 micrometers. However, the vast amount of data generated from these recordings necessitates sophisticated analysis tools, which is where Neuroservices-Alliance’s proprietary AI algorithms come into play.
At Neuroservices-Alliance, we utilize 3Brain‘s CMOS HD-MEA to record and analyze signals from large brain structures like the cortex and cerebellum. Our research focuses on both physiological signals (action potentials or spikes) and pathophysiological signals (Epileptiform Discharges or EDs). The data below illustrate our capability to record and analyze these signals in mice prefrontal cortex using 3Brain’s CMOS chips.
The picture opposite shows induced epileptiform discharges in adult mice cortical slices, where neuronal network inhibition was suppressed by adding picrotoxin (PTX). Neurons were slightly depolarized with 5mM K+ aCSF to bring the cells closer to the action potential threshold, allowing us to capture epileptiform discharges at eight electrodes.
ED waveform recorded on adjacent electrodes.
Pink traces are high-pass filtered at 100Hz, and green traces are low pass-filtered at 100Hz.
The figure below demonstrates kainate-induced spontaneous activity in mice cortical slices. Acute exposure to kainate (500 nM) stimulated spontaneous firing activity of prefrontal cortex neurons, resulting in numerous action potentials.
This showcases our ability to test the effects of drug candidates on brain neuronal networks with high spatial resolution and statistical power, leading to more accurate pharmacological profiles and better documentation of mechanisms of action.
Our innovative approach combining HD-MEA and AI algorithms analysis offers several advantages:
High Precision
The high spatial resolution of HD-MEA technology allows for detailed mapping of neuronal activity, providing insights that are not possible with traditional methods.
Efficiency
Our AI algorithms process vast amounts of data quickly and accurately, reducing analysis time and increasing throughput.
Enhanced Drug Development
By precisely testing the effects of drug candidates on neuronal networks, we provide comprehensive pharmacological profiles and elucidate mechanisms of action.
Advanced Research Capabilities
Our technology enables the study of complex neuronal interactions and pathophysiological conditions, contributing to a deeper understanding of brain function and disorders.
At Neuroservices-Alliance, we are dedicated to advancing neuroscience research through technological innovation and scientific excellence.
Our work with HD-MEA and AI algorithms represents a significant step forward, offering new possibilities for understanding and treating neurological conditions.
For more information about our services and how we can support your research:
