AIMC Topic: Patch-Clamp Techniques

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Robotic Fast Patch Clamp in Brain Slices Based on Stepwise Micropipette Navigation and Gigaseal Formation Control.

Sensors (Basel, Switzerland) Feb 13, 2025
The patch clamp technique has become the gold standard for neuron electrophysiology research in brain science. Brain slices have been widely utilized as the targets of the patch clamp technique due to their higher optical transparency compared to a l...
Rats Robotics Neurons Patch-Clamp Techniques Brain Animals
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Robotic Fast Dual-Arm Patch Clamp System for Mechanosensitive Excitability Research of Neurons.

IEEE transactions on bio-medical engineering Jan 21, 2025
OBJECTIVE: A robotic fast dual-arm patch clamp system with controllable mechanical stimulation is proposed in this paper for mechanosensitive excitability research of neurons in brain slice.
Mice Robotics Equipment Design Neurons Patch-Clamp Techniques Animals
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Deep Learning-Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Dec 31, 2024
The patch clamp technique is a fundamental tool for investigating ion channel dynamics and electrophysiological properties. This study proposes the first artificial intelligence framework for characterizing multiple ion channel kinetics of whole-cell...
Ion Channels Patch-Clamp Techniques Humans Deep Learning Action Potentials Kinetics Neurons Alzheimer Disease
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The evolution of patch-clamp electrophysiology: Robotic, multiplex, and dynamic.

Molecular pharmacology Nov 22, 2024
The patch-clamp technique has been the gold standard for analysis of excitable cells. Since its development in the 1980s, it has contributed immensely to our understanding of neurons, muscle cells, and cardiomyocytes and the ion channels and receptor...
Patch-Clamp Techniques Humans Animals Robotics Neurons Ion Channels Electrophysiological Phenomena
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Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains.

PLoS computational biology Apr 29, 2024
Probing the architecture of neuronal circuits and the principles that underlie their functional organization remains an important challenge of modern neurosciences. This holds true, in particular, for the inference of neuronal connectivity from large...
Machine Learning Algorithms Animals Computational Biology Neural Networks, Computer Neurons Synapses Nerve Net Microelectrodes Rats Models, Neurological Action Potentials Patch-Clamp Techniques
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Automatic deep learning-driven label-free image-guided patch clamp system.

Nature communications Feb 10, 2021
Patch clamp recording of neurons is a labor-intensive and time-consuming procedure. Here, we demonstrate a tool that fully automatically performs electrophysiological recordings in label-free tissue slices. The automation covers the detection of cell...
Electrophysiology Patch-Clamp Techniques Deep Learning Image Processing, Computer-Assisted Rats, Wistar Rats Neurons Video Recording Automation Humans Brain Adult Female Animals Software Aged Male Middle Aged
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Application of Machine-Learning Methods to Recognize mitoBK Channels from Different Cell Types Based on the Experimental Patch-Clamp Results.

International journal of molecular sciences Jan 15, 2021
(1) Background: In this work, we focus on the activity of large-conductance voltage- and Ca2+-activated potassium channels (BK) from the inner mitochondrial membrane (mitoBK). The characteristic electrophysiological features of the mitoBK channels ar...
Artificial Intelligence Machine Learning Algorithms Pregnancy Female Animals Rats, Wistar Neural Networks, Computer Pregnancy, Animal Ion Channel Gating Large-Conductance Calcium-Activated Potassium Channels Patch-Clamp Techniques Mitochondria Potassium Channels Hippocampus Protein Conformation Rats Endothelium Fibroblasts Kinetics
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Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data.

Communications biology Jan 7, 2020
Single-molecule research techniques such as patch-clamp electrophysiology deliver unique biological insight by capturing the movement of individual proteins in real time, unobscured by whole-cell ensemble averaging. The critical first step in analysi...
Electrophysiological Phenomena Ion Channel Gating Artificial Intelligence Patch-Clamp Techniques ROC Curve Supervised Machine Learning Humans Workflow Single Molecule Imaging Neural Networks, Computer Models, Biological Ion Channels
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PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices.

Journal of neural engineering Apr 10, 2019
OBJECTIVE: Intracellular patch-clamp electrophysiology, one of the most ubiquitous, high-fidelity techniques in biophysics, remains laborious and low-throughput. While previous efforts have succeeded at automating some steps of the technique, here we...
Robotics Electrophysiological Phenomena HEK293 Cells Humans Animals Patch-Clamp Techniques Cells, Cultured Male Organ Culture Techniques Brain Mice Mice, Inbred C57BL
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Autonomous patch-clamp robot for functional characterization of neurons in vivo: development and application to mouse visual cortex.

Journal of neurophysiology Apr 10, 2019
Patch clamping is the gold standard measurement technique for cell-type characterization in vivo, but it has low throughput, is difficult to scale, and requires highly skilled operation. We developed an autonomous robot that can acquire multiple cons...
Neurons Photic Stimulation Visual Cortex Electrophysiological Phenomena Patch-Clamp Techniques Mice Animals Mice, Inbred C57BL Male Robotics
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