Computer-aided formation of the whole-cell patch-clamp recording configuration

Area of Science:

• Electrophysiology
• Biophysics
• Pharmacology

Background:

• Conventional patch-clamp technique demands extensive expertise.
• Existing automated systems are optimized for drug screening, not standard electrophysiology.
• A need exists for accessible automation in patch-clamp experiments.

Purpose of the Study:

• To develop a state machine for automated recognition of patch-clamp recording states.
• To provide a tool that assists in various aspects of patch-clamp experiments.
• To improve the efficiency and accessibility of patch-clamp recordings.

Main Methods:

• A state machine algorithm was developed based on evaluating membrane current charge.
• The algorithm analyzes responses to square wave voltage stimulation during specific time segments.
• The system was tested on rat ventricular myocytes, covering diverse cell types.

Main Results:

• The state machine successfully automates the recognition of patch-clamp recording states.
• The algorithm's principle is based on charge evaluation of membrane current.
• Successful validation was achieved using rat ventricular myocytes.

Conclusions:

• The developed state machine offers automated recognition of patch-clamp recording states.
• This automation can support sound alerts, device control, micromanipulation, and pressure/potential adjustments.
• The algorithm is versatile and applicable to a wide range of cell types.