by Scientists have designed a new, cost-effective, and open-source system for studying neurons. The traditional approach of in vivo electrophysiology, which involves studying neurons within a living organism, often faces challenges when dealing with the complexity of the brain. An alternative method involves extracting cells from the organism and conducting studies on a culture dish (in vitro), allowing for increased control and precision in measuring neural processes.
To address the need for a more accessible avenue for researchers interested in studying neural interactions, a study featured in Advanced Science introduces an open-source in vitro system for interfacing with neurons. The study is part of the Mind in Vitro (MiV) project, an interdisciplinary initiative exploring how neurons interact with each other, aiming to understand complex systems like the brain and eventually use in vitro neural networks for computation.
The ultimate goal of the MiV project is to utilize neurons for computation, offering a dynamic and constantly evolving system that is more energy-efficient than traditional computing systems. The project involves researchers from various fields such as computer science, engineering, neurobiology, and physiology.
Led by Mattia Gazzola, an associate professor of mechanical science and engineering, the study describes an innovative approach to measuring neuron activity using micro-electrode array (MEA) technology. While commercial MEA systems exist, they are often expensive and tailored to specific experimental approaches.
The new MiV apparatus consists of a plate with MEAs where cells are placed to interface with the neural substrates. The electrodes detect voltage from the neurons, which is then amplified and sent to a computer for data processing. Compared to standard commercial systems with 60 electrodes, the MiV system boasts over 500 electrodes, allowing for simultaneous collection of more data. The system also offers features not found in commercial systems, including portability, bi-directional communication with neurons, imaging capabilities during recordings, and the ability to test multiple types of input and cell populations.
The MiV system is not only more advanced but also remarkably cheaper than commercial alternatives, costing only one-tenth of the price. Moreover, the researchers have made the hardware and software models for the MiV system open source and freely available online to facilitate its dissemination.
By developing an affordable and open-source system for studying neurons, researchers have provided a valuable tool for neuroscience studies. The MiV system offers enhanced capabilities and flexibility, making it accessible to a broader range of researchers interested in investigating neural interactions. With its potential for advancing computational systems based on living cells, this technology has exciting implications for the future of neuroscience and computing.
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1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it
