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Related Concept Videos

Patch Clamp01:18

Patch Clamp

5.7K
Many fundamental cell functions such as muscle contraction and nerve transmission rely on the electrical signals produced by the movement of positively and negatively charged ions across the cell membrane. One competent method to record current flowing across the whole cell or single ion channel is the patch-clamp technique.
In this method, a glass micropipette containing electrolyte solution is tightly sealed against a small portion of the cell membrane. As a result, a patch of the cell...
5.7K

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Updated: Sep 10, 2025

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Trajectory Planning for Patch Clamp in a Highly Constrained Cerebrovascular Environment.

Jie Li, Zizhen Li, Mingzhu Sun

    IEEE Transactions on Bio-Medical Engineering
    |August 25, 2025
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    Summary

    This study introduces an active avoidance method for micropipette trajectory planning in in vivo patch clamp procedures. The new approach enhances efficiency and minimizes brain tissue damage during neural recordings.

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    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Electrophysiology

    Background:

    • The patch-clamp technique is crucial for studying neural mechanisms of behavior in animals.
    • Micropipette trajectory planning is a critical yet challenging step in in vivo patch clamp.
    • Existing methods struggle with the complex brain environment and lack of 3D spatial data, hindering vessel avoidance and target accuracy.

    Purpose of the Study:

    • To develop an active avoidance micropipette trajectory planning method for in vivo patch clamp.
    • To improve the efficiency and success rate of micropipette insertion.
    • To minimize damage to brain tissue during electrophysiological recordings.

    Main Methods:

    • Constructing a 3D map of blood vessel distribution using two-photon microscopy.
    • Developing a navigable space for the micropipette based on spatial information.
    • Utilizing a trajectory potential field to guide the micropipette to the target destination.

    Main Results:

    • The proposed method successfully generates optimized trajectories for micropipette insertion.
    • Experimental validation shows increased success rates for micropipette placement.
    • The approach significantly reduces the time required for insertion and minimizes brain tissue damage.

    Conclusions:

    • The active avoidance trajectory planning method enhances the feasibility of in vivo patch clamp.
    • This technique offers a more efficient and less invasive approach for neural circuit research.
    • The method has demonstrated practical utility and improved outcomes in experimental applications.