Method Article

Application of Automated Image-guided Patch Clamp for the Study of Neurons in Brain Slices

DOI:

10.3791/56010

July 31st, 2017

In This Article

Summary

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This protocol describes how to conduct automatic image-guided patch-clamp experiments using a system recently developed for standard in vitro electrophysiology equipment.

Abstract

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Whole-cell patch clamp is the gold-standard method to measure the electrical properties of single cells. However, the in vitro patch clamp remains a challenging and low-throughput technique due to its complexity and high reliance on user operation and control. This manuscript demonstrates an image-guided automatic patch clamp system for in vitro whole-cell patch clamp experiments in acute brain slices. Our system implements a computer vision-based algorithm to detect fluorescently labeled cells and to target them for fully automatic patching using a micromanipulator and internal pipette pressure control. The entire process is highly automated, with minimal requirements for human intervention. Real-time experimental information, including electrical resistance and internal pipette pressure, are documented electronically for future analysis and for optimization to different cell types. Although our system is described in the context of acute brain slice recordings, it can also be applied to the automated image-guided patch clamp of dissociated neurons, organotypic slice cultures, and other non-neuronal cell types.

Introduction

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The patch clamp technique was first developed by Neher and Sakmann in the 1970s to study the ionic channels of excitable membranes1. Since then, patch clamping has been applied to the study of many different subjects at the cellular, synaptic, and circuit level—both in vitro and in vivo—in many different cell types, including neurons, cardiomyocytes, Xenopus oocytes, and artificial liposomes2. This process involves the correct identification and targeting of a cell of interest, intricate micromanipulator control to move the patch pipette in close proximity to the cell, the application of pos....

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Protocol

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1. System Setup

  1. Construct the pressure control unit.
    1. Assemble the pressure control unit according to the circuit map (Figure 1). Solder the necessary parts onto the Printed Circuit Board (PCB) manufactured according to the electrical circuit schematics (Figure 1b). Use standard resistors, LEDs, Metal-Oxide Semiconductor Field-Eeffect Transistors (MOSFETs), capacitors, and connectors (see the Table of Materials). Solder solenoid valves onto the PCB. Connect the air pump and air pressure sensor to the PCB with electrical wire.
      NOTE: It should take about 2 h to co....

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Results

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Our system has been tested on its ability to patch cells in acute brain slices, mouse induced Pluripotent Stem Cells (iPSCs) differentiated into neurons, and HEK 293 cells artificially expressing channels of interest. Figure 3 shows an experiment using Thy1-ChR2-YFP transgenic mice (B6.Cg-Tg(Thy1-COP4/EYFP)18Gfng/J) targeting fluorescently labeled layer 5 pyramidal neurons in the visual cortex. The target cell was one of the automatically identified green flu.......

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Discussion

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Here, we describe a method for automatic image-guided patch clamp recordings in vitro. The key steps in this process are summarized as follows. First, computer vision is used to automatically recognize the pipette tip using a series of images acquired via a microscope. This information is then used to calculate the coordinate transformation function between the microscope and the manipulator coordinate systems. Computer vision is used to automatically detect fluorescently labeled cells and to identify their coor.......

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Disclosures

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A non-provisional patent application "SYSTEMS AND METHODS FOR AUTOMATED IMAGE-GUIDED PATCH-CLAMP ELECTROPHYSIOLOGY IN VITRO," U.S. Serial No.: 15/353,719, was filed on November 16, 2016, Ref. No.: PRF 67270-02.

Acknowledgements

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We are grateful for the financial support from the Whitehall Foundation. We would like to thank Samuel T. Kissinger for the valuable comments.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
CCD CameraQImagingRolera Bolt
Electrophysiology rigScientificaSliceScope Pro 2000Include microscope and manipulators. The manufacturer provided manipulator control software demonstrated in this manuscript is “Linlab2”.
AmplifierMolecular DevicesMultiClamp 700Bcomputer-controlled microelectrode amplifier
DigitizerMolecular DevicesAxon Digidata 1550
LED light sourceCool LEDpE-100488 nm wavelength
Data acquisition boardMeasurement ComputingUSB1208-FSSecondary DAQ.
See manual at : http://www.mccdaq.com/pdfs/manuals/USB-1208FS.pdf
Solenoid valvesThe Lee Co.LHDA0531115H
Air pumpVirtual industryVMP1625MX-12-90-CH
Air pressure sensorFreescale semiconductorMPXV7025G
Slice hold-downWarner instruments64-1415 (SHD-40/2)Slice Anchor Kit, Flat for RC-40 Chamber, 2.0 mm, 19.7 mm
PythonAnacondaversion 2.7 (32-bit for windows)https://www.continuum.io/downloads
Screw TerminalsSparkfunPRT - 08084Screw Terminals 3.5 mm Pitch (2-Pin)
(2-Pin)
N-Channel MOSFET 60 V 30 ASparkfunCOM - 10213
DIP Sockets Solder Tail - 8-PinSparkfunPRT-07937
LED - Basic Red 5 mmSparkfunCOM-09590
LED - Basic Green 5mmSparkfunCOM-09592
DC Barrel Power Jack/Connector (SMD)SparkfunPRT-12748
Wall Adapter Power Supply - 12 V DC 600 mASparkfunTOL-09442
Hook-Up Wire - Assortment (Solid Core, 22 AWG)SparkfunPRT-11367
Locking Male x Female x Female StopcockARK-PLASRCX10-GP0
Fisherbrand Tygon S3 E-3603 Flexible TubingsFisher scientific14-171-129Outer Diameter: 1/8 in.
Inner Diameter: 1/16 in.
BNC male to BNC male coaxial cableBelkin ComponentsF3K101-06-E
560 Ohm Resistor (5% tolerance)Radioshack2711116
PicospritzerGeneral ValvePicospritzer II

References

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  1. Sakmann, B., Neher, E. Patch clamp techniques for studying ionic channels in excitable membranes. Annu Rev Physiol. 46, 455-472 (1984).
  2. Collins, M. D., Gordon, S. E. Giant liposome preparation for imaging and patch-clamp electrophysiology. J Vis Exp. (76), ....

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Tags

Automated Patch ClampImage Guided Patch ClampWhole Cell Patch ClampAcute Brain SlicesComputer Vision AlgorithmFluorescent Cell DetectionMicromanipulator ControlInternal Pipette PressureElectrical Resistance MonitoringGigaseal Formation

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