Large-Scale Mapping of Axonal Arbors Using High-Density Microelectrode Arrays
Understanding the role of axons in neuronal information processing is a fundamental task in neuroscience. Over the last years, sophisticated patch-clamp investigations have provided unexpected and exciting data on axonal phenomena and functioning, but there is still a need for methods to investigate...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-09-01
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| Series: | Frontiers in Cellular Neuroscience |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fncel.2019.00404/full |
| _version_ | 1818478398559748096 |
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| author | Torsten Bullmann Torsten Bullmann Torsten Bullmann Milos Radivojevic Stefan T. Huber Kosmas Deligkaris Kosmas Deligkaris Andreas Hierlemann Urs Frey Urs Frey Urs Frey |
| author_facet | Torsten Bullmann Torsten Bullmann Torsten Bullmann Milos Radivojevic Stefan T. Huber Kosmas Deligkaris Kosmas Deligkaris Andreas Hierlemann Urs Frey Urs Frey Urs Frey |
| author_sort | Torsten Bullmann |
| collection | DOAJ |
| description | Understanding the role of axons in neuronal information processing is a fundamental task in neuroscience. Over the last years, sophisticated patch-clamp investigations have provided unexpected and exciting data on axonal phenomena and functioning, but there is still a need for methods to investigate full axonal arbors at sufficient throughput. Here, we present a new method for the simultaneous mapping of the axonal arbors of a large number of individual neurons, which relies on their extracellular signals that have been recorded with high-density microelectrode arrays (HD-MEAs). The segmentation of axons was performed based on the local correlation of extracellular signals. Comparison of the results with both, ground truth and receiver operator characteristics, shows that the new segmentation method outperforms previously used methods. Using a standard HD-MEA, we mapped the axonal arbors of 68 neurons in <6 h. The fully automated method can be extended to new generations of HD-MEAs with larger data output and is estimated to provide data of axonal arbors of thousands of neurons within recording sessions of a few hours. |
| first_indexed | 2024-12-10T09:47:36Z |
| format | Article |
| id | doaj.art-0d9b0dc9139c40e2a70d964e0951a3e9 |
| institution | Directory Open Access Journal |
| issn | 1662-5102 |
| language | English |
| last_indexed | 2024-12-10T09:47:36Z |
| publishDate | 2019-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cellular Neuroscience |
| spelling | doaj.art-0d9b0dc9139c40e2a70d964e0951a3e92022-12-22T01:53:45ZengFrontiers Media S.A.Frontiers in Cellular Neuroscience1662-51022019-09-011310.3389/fncel.2019.00404474138Large-Scale Mapping of Axonal Arbors Using High-Density Microelectrode ArraysTorsten Bullmann0Torsten Bullmann1Torsten Bullmann2Milos Radivojevic3Stefan T. Huber4Kosmas Deligkaris5Kosmas Deligkaris6Andreas Hierlemann7Urs Frey8Urs Frey9Urs Frey10RIKEN Quantitative Biology Center, RIKEN, Kobe, JapanGraduate School of Informatics, Kyoto University, Kyoto, JapanCarl Ludwig Institute for Physiology, University of Leipzig, Leipzig, GermanyDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, SwitzerlandRIKEN Quantitative Biology Center, RIKEN, Kobe, JapanRIKEN Quantitative Biology Center, RIKEN, Kobe, JapanGraduate School of Frontier Biosciences, Osaka University, Osaka, JapanDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, SwitzerlandRIKEN Quantitative Biology Center, RIKEN, Kobe, JapanDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, SwitzerlandMaxWell Biosystems AG, Basel, SwitzerlandUnderstanding the role of axons in neuronal information processing is a fundamental task in neuroscience. Over the last years, sophisticated patch-clamp investigations have provided unexpected and exciting data on axonal phenomena and functioning, but there is still a need for methods to investigate full axonal arbors at sufficient throughput. Here, we present a new method for the simultaneous mapping of the axonal arbors of a large number of individual neurons, which relies on their extracellular signals that have been recorded with high-density microelectrode arrays (HD-MEAs). The segmentation of axons was performed based on the local correlation of extracellular signals. Comparison of the results with both, ground truth and receiver operator characteristics, shows that the new segmentation method outperforms previously used methods. Using a standard HD-MEA, we mapped the axonal arbors of 68 neurons in <6 h. The fully automated method can be extended to new generations of HD-MEAs with larger data output and is estimated to provide data of axonal arbors of thousands of neurons within recording sessions of a few hours.https://www.frontiersin.org/article/10.3389/fncel.2019.00404/fullaxonshigh-density microelectrode arrayextracellular electrical fieldaction potentialaxonal arborizationsaction potential propagation |
| spellingShingle | Torsten Bullmann Torsten Bullmann Torsten Bullmann Milos Radivojevic Stefan T. Huber Kosmas Deligkaris Kosmas Deligkaris Andreas Hierlemann Urs Frey Urs Frey Urs Frey Large-Scale Mapping of Axonal Arbors Using High-Density Microelectrode Arrays Frontiers in Cellular Neuroscience axons high-density microelectrode array extracellular electrical field action potential axonal arborizations action potential propagation |
| title | Large-Scale Mapping of Axonal Arbors Using High-Density Microelectrode Arrays |
| title_full | Large-Scale Mapping of Axonal Arbors Using High-Density Microelectrode Arrays |
| title_fullStr | Large-Scale Mapping of Axonal Arbors Using High-Density Microelectrode Arrays |
| title_full_unstemmed | Large-Scale Mapping of Axonal Arbors Using High-Density Microelectrode Arrays |
| title_short | Large-Scale Mapping of Axonal Arbors Using High-Density Microelectrode Arrays |
| title_sort | large scale mapping of axonal arbors using high density microelectrode arrays |
| topic | axons high-density microelectrode array extracellular electrical field action potential axonal arborizations action potential propagation |
| url | https://www.frontiersin.org/article/10.3389/fncel.2019.00404/full |
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