ArticleNature communications2021
Automatic deep learning-driven label-free image-guided patch clamp system.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 51 citations in OpenAlex.
- Artificial intelligence-enabled "inherited noninvasive intracellular recording" for prolonged monitoring of cardiac action potentials.Science advances · 2026Article
- Computer vision-guided rapid and precise automated cranial microsurgeries in mice.Science advances · 2025Article
- Deep Learning-Based Ion Channel Kinetics Analysis for Automated Patch Clamp Recording.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Robotic Fast Patch Clamp in Brain Slices Based on Stepwise Micropipette Navigation and Gigaseal Formation Control.Sensors (Basel, Switzerland) · 2025Article
- Patch-walking, a coordinated multi-pipette patch clamp for efficiently finding synaptic connections.eLife · 2024Article
- Label-free live cell recognition and tracking for biological discoveries and translational applications.Npj imaging · 2024Review
- Article
- Patch-walking: Coordinated multi-pipette patch clamp for efficiently finding synaptic connections.bioRxiv : the preprint server for biology · 2024Article
- High-throughput genetic manipulation of multicellular organisms using a machine-vision guided embryonic microinjection robot.Genetics · 2024Article
- Beyond a Transmission Cable-New Technologies to Reveal the Richness in Axonal Electrophysiology.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- Immediate reuse of patch-clamp pipettes after ultrasonic cleaning.Scientific reports · 2024Article
- Harnessing the potential of human induced pluripotent stem cells, functional assays and machine learning for neurodevelopmental disorders.Frontiers in neuroscience · 2024Review
- Neuron Contact Detection Based on Pipette Precise Positioning for Robotic Brain-Slice Patch Clamps.Sensors (Basel, Switzerland) · 2023Article
- Smart imaging to empower brain-wide neuroscience at single-cell levels.Brain informatics · 2022Review
- Current approaches to characterize micro- and macroscale circuit mechanisms of Parkinson's disease in rodent models.Experimental neurology · 2022Review
- Deep learning-enabled mobile application for efficient and robust herb image recognition.Scientific reports · 2022Article
- Method for Rapid Enzymatic Cleaning for Reuse of Patch Clamp Pipettes: Increasing Throughput by Eliminating Manual Pipette Replacement between Patch Clamp Attempts.Bio-protocol · 2021Article
- Deep learning-based real-time detection of neurons in brain slices for in vitro physiology.Scientific reports · 2021Article
- Single neuron recording: progress towards high-throughput analysis.Bioelectronics in medicine · 2020Article
- Article
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 cells in label-free images, calibration of the micropipette movement, approach to the cell with the pipette, formation of the whole-cell configuration, and recording. The cell detection is based on deep learning. The model is trained on a new image database of neurons in unlabeled brain tissue slices. The pipette tip detection and approaching phase use image analysis techniques for precise movements. High-quality measurements are performed on hundreds of human and rodent neurons. We also demonstrate that further molecular and anatomical analysis can be performed on the recorded cells. The software has a diary module that automatically logs patch clamp events. Our tool can multiply the number of daily measurements to help brain research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.