Automatic Recording of Single Neurons Guided by Computer Vision
- 总结
- Researchers at Purdue University have developed software that allows automatic patch-clamp recordings from individual neurons in a brain slice. They have also developed a pressure control prototype that together with a micromanipulator, allow the program to control the patch-clamp process. This technology uses computer vision to make this process completely automatic, requiring no human participation. Automatic image-guidance makes the whole-cell patch clamp technique faster, easier to perform, and accessible for less experienced users.
- 技术优势
- Faster Easier Extensive training is not required
- 技术应用
- Brain neural network research Pharmaceutical testing
- 详细技术说明
- Alexander ChubykinAlex Chubykin LabPurdue Biological Sciences
- *Abstract
-
- *Background
- One of the critical questions in neuroscience is how brain neural networks perform computations necessary for higher level cognitive functions. To answer this question, one needs to record electrical activity of individual neurons with synaptic resolution. The tool best suited to address this question is the whole-cell patch clamp technique, where multiple aspects of excitatory and inhibitory synaptic currents, cellular excitability, and interneuronal connectivity can be characterized. However, this method is slow and requires users with high levels of expertise.
- *IP Issue Date
- None
- *IP Type
- Provisional
- *Stage of Development
- Process validation in lab
- *Web Links
- Purdue Office of Technology CommercializationPurdueInnovation and EntrepreneurshipAlexander ChubykinAlex Chubykin LabPurdue Biological Sciences
- 国家
- United States
- 申请号码
- N/A
- 国家/地区
- 美国
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