Physiological Motion Compensation in Patch Clamping using Electrical Bio-impedance Sensing

Assche, Kaat Van; Zhang, Yao; Ourak, Mouloud; Verschooten, Eric; Joris, Philip X.; Poorten, Emmanuel Vander

doi:10.1109/ismr57123.2023.10130269

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…In this work, a motion compensation strategy solely based on EBI sensing, using the available patch pipette is proposed. For this, we exploited the monotonically decreasing impedance-distance trend between pipette and object (Parafilm ® ) as was characterized in our previous work using ex vivo calf brain [45]. The difference in the impedancedistance relationship (between different test objects or between benchtop and in vivo setup) is not a barrier in this work.…”

Section: Discussionmentioning

confidence: 99%

Physiological Motion Compensation for Neuroscience Research Based on Electrical Bio-Impedance Sensing

Zhang,

Verschooten,

Ourak

et al. 2023

IEEE Sensors J.

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Researchers have developed a large number of methods to study the brain's function. One of the most effective techniques is in vivo whole-cell patch clamp recording which allows the recording of intracellular neuronal activity. A major issue that drastically reduces the efficiency of in vivo patch clamping is the excessive movement of the brain primarily caused by heartbeat and breathing, which can be larger than the size of the neurons under investigation. Motion compensation techniques are complicated due to the lack of sensors to reliably measure local physiologically-induced motion. This work proposes the use of Electrical Bio-impedance (EBI) to the existing patch electrodes in the patching pipette as a proximity sensor. The study further develops an Extended Kalman Filter (EKF) to estimate overall motion and then establishes a motion compensation algorithm for the patch pipette. The proposed method was developed on a custom lab benchtop setup and validated during actual in vivo experiments. The results of the lab experiments show a real-time compensatory performance exceeding 80%. The in vivo experiments achieved a performance of over 75%, confirming the ability to compensate for real physiologically induced motion. Moreover, the method demonstrated dynamic continuous motion compensation while the electrode was advanced to a neuron, contacting the neuron membrane without damage illustrating the ability to improve neuronal patch clamping. As far as the authors are aware this is the first time that physiologically induced motion can be compensated for this application and this solely relies on EBI.

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Section: Discussionmentioning

confidence: 99%

Physiological Motion Compensation for Neuroscience Research Based on Electrical Bio-Impedance Sensing

Zhang,

Verschooten,

Ourak

et al. 2023

IEEE Sensors J.

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“…Halter and Kim ( 2014 ) generate electrical bio-impedance tomography for abnormal tissue detection. And Van Assche et al ( 2023 ) use EBI as proximity sensing in neuroscience research.…”

Section: Introductionmentioning

confidence: 99%

Development and evaluation of a robotic system for lumbar puncture and epidural steroid injection

Lu,

Huang,

Zhuang

et al. 2023

Front. Neurorobot.

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IntroductionLumbar puncture is an important medical procedure for various diagnostics and therapies, but it can be hazardous due to individual variances in subcutaneous soft tissue, especially in the elderly and obese. Our research describes a novel robot-assisted puncture system that automatically controls and maintains the probe at the target tissue layer through a process of tissue recognition.MethodsThe system comprises a robotic system and a master computer. The robotic system is constructed based on a probe consisting of a pair of concentric electrodes. From the probe, impedance spectroscopy measures bio-impedance signals and transforms them into spectra that are communicated to the master computer. The master computer uses a Bayesian neural network to classify the bio-impedance spectra as corresponding to different soft tissues. By feeding the bio-impedance spectra of unknown tissues into the Bayesian neural network, we can determine their categories. Based on the recognition results, the master computer controls the motion of the robotic system.ResultsThe proposed system is demonstrated on a realistic phantom made of ex vivo tissues to simulate the spinal environment. The findings indicate that the technology has the potential to increase the precision and security of lumbar punctures and associated procedures.DiscussionIn addition to lumbar puncture, the robotic system is suitable for related puncture operations such as discography, radiofrequency ablation, facet joint injection, and epidural steroid injection, as long as the required tissue recognition features are available. These operations can only be carried out once the puncture needle and additional instruments reach the target tissue layer, despite their ensuing processes being distinct.

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Physiological Motion Compensation in Patch Clamping using Electrical Bio-impedance Sensing

Cited by 2 publications

References 29 publications

Physiological Motion Compensation for Neuroscience Research Based on Electrical Bio-Impedance Sensing

Physiological Motion Compensation for Neuroscience Research Based on Electrical Bio-Impedance Sensing

Development and evaluation of a robotic system for lumbar puncture and epidural steroid injection

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