Evidence map›Paper›PMID 30970335›Full record

ArticleJournal of neural engineering2019

PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices.

Ilya Kolb, Corey R Landry, Mighten C Yip, Colby F Lewallen, William A Stoy, John Lee, Amanda Felouzis, Bo Yang, Edward S Boyden, Christopher J Rozell and 1 more

Abstract read
In one paragraph

Article in Journal of neural engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ilya KolbWallace H Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.ORCID 0000-0001-5100-849X
Corey R LandryWallace H Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
Mighten C YipGeorge W Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.ORCID 0000-0002-8463-0311
Colby F LewallenGeorge W Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
William A StoyWallace H Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
John LeeSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
Amanda FelouzisWallace H Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
Bo YangWallace H Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
Edward S BoydenMedia Lab, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Christopher J RozellSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
Craig R ForestGeorge W Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.

Funding

High-throughput robotic analysis of integrated neuronal phenotypesR01EY023173 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., FOREST, CRAIG · 2012 to 2016
$4.3M
Scalable Cell- and Circuit-Targeted ElectrophysiologyR01NS102727 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., FOREST, CRAIG · 2017 to 2020
$2.2M
In-vivo circuit activity measurement at single cell, sub-threshold resolutionU01MH106027 · NIMH · GEORGIA INSTITUTE OF TECHNOLOGY · PI FOREST, CRAIG, STANLEY, GARRETT B. · 2014 to 2016
$1.5M
From Cells to Systems and Applications: Computational Neuroscience Training at EmT90DA032466 · NIDA · EMORY UNIVERSITY · PI JAEGER, DIETER, STANLEY, GARRETT B. · 2011 to 2015
$817k
NEI NIH HHS R01 EY023173NIDA NIH HHS T90 DA032466NIMH NIH HHS U01 MH106027NINDS NIH HHS R01 NS102727
6 · The paper itself

Abstract

objectiveIntracellular 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 demonstrate a robotic 'PatcherBot' system that can perform many patch-clamp recordings sequentially, fully unattended. APPROACH: Comprehensive automation is accomplished by outfitting the robot with machine vision, and cleaning pipettes instead of manually exchanging them. MAIN

resultsthe PatcherBot can obtain data at a rate of 16 cells per hour and work with no human intervention for up to 3 h. We demonstrate the broad applicability and scalability of this system by performing hundreds of recordings in tissue culture cells and mouse brain slices with no human supervision. Using the PatcherBot, we also discovered that pipette cleaning can be improved by a factor of three. SIGNIFICANCE: The system is potentially transformative for applications that depend on many high-quality measurements of single cells, such as drug screening, protein functional characterization, and multimodal cell type investigations.

Indexed as

AnimalsBrainCells, CulturedElectrophysiological PhenomenaHEK293 CellsHumansMaleMiceMice, Inbred C57BLOrgan Culture TechniquesPatch-Clamp TechniquesRobotics

Identifiers

PMID30970335
PMCPMC7144284

What OpenQuestion holds

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Registered trials

None linked

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.