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Methodological Features of the Morphometric Characterization of the Synaptoarchitectonics of the Human Neocortex by Immunofluorescent Detection of Neuromodulin
Objective. To study the possibility of using GAP-43 for morphometric characterization of synaptoarchitectonics. Materials and methods. Studies used immunofluorescent detection of neuromodulin (GAP-43) by confocal microscopy and automated computer image analysis of layer V (field 4) of the human brai...
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Published in: | Neuroscience and behavioral physiology 2019, Vol.49 (1), p.103-108 |
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creator | Stepanov, A. S. Akulinin, V. A. Stepanov, S. S. Avdeev, D. B. |
description | Objective.
To study the possibility of using GAP-43 for morphometric characterization of synaptoarchitectonics.
Materials and methods.
Studies used immunofluorescent detection of neuromodulin (GAP-43) by confocal microscopy and automated computer image analysis of layer V (field 4) of the human brain (
n
= 4) using ImageJ 1.46.
Results.
Immunofluorescent detection of GAP-43 identified the distribution of axodendritic and axosomatic synapses, the total area of axon terminals, and the number densities of intermediate and large terminals.
Conclusions.
A necessary condition for obtaining accurate data is having digital images with sufficient resolution (600–900 pixels per inch). These results need to be considered in studies of the synaptoarchitectonics of the neocortex using immunohistochemical methods for investigating synapse structure. |
doi_str_mv | 10.1007/s11055-018-0701-6 |
format | article |
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To study the possibility of using GAP-43 for morphometric characterization of synaptoarchitectonics.
Materials and methods.
Studies used immunofluorescent detection of neuromodulin (GAP-43) by confocal microscopy and automated computer image analysis of layer V (field 4) of the human brain (
n
= 4) using ImageJ 1.46.
Results.
Immunofluorescent detection of GAP-43 identified the distribution of axodendritic and axosomatic synapses, the total area of axon terminals, and the number densities of intermediate and large terminals.
Conclusions.
A necessary condition for obtaining accurate data is having digital images with sufficient resolution (600–900 pixels per inch). These results need to be considered in studies of the synaptoarchitectonics of the neocortex using immunohistochemical methods for investigating synapse structure.</description><identifier>ISSN: 0097-0549</identifier><identifier>EISSN: 1573-899X</identifier><identifier>DOI: 10.1007/s11055-018-0701-6</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Antibodies ; Automation ; Behavioral Sciences ; Biomedical and Life Sciences ; Biomedicine ; Computer terminals ; Confocal microscopy ; Digital imaging ; GAP-43 protein ; Hypotheses ; Image detection ; Image processing ; Microscopy ; Neocortex ; Neurobiology ; Neurosciences ; Particle size ; Presynapse ; Synapses</subject><ispartof>Neuroscience and behavioral physiology, 2019, Vol.49 (1), p.103-108</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Neuroscience and Behavioral Physiology is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2316-c24c0a60d1686daa933ed8e9d16382022f62eef6652f23f16dfbb8dbb91e09eb3</citedby><cites>FETCH-LOGICAL-c2316-c24c0a60d1686daa933ed8e9d16382022f62eef6652f23f16dfbb8dbb91e09eb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Stepanov, A. S.</creatorcontrib><creatorcontrib>Akulinin, V. A.</creatorcontrib><creatorcontrib>Stepanov, S. S.</creatorcontrib><creatorcontrib>Avdeev, D. B.</creatorcontrib><title>Methodological Features of the Morphometric Characterization of the Synaptoarchitectonics of the Human Neocortex by Immunofluorescent Detection of Neuromodulin</title><title>Neuroscience and behavioral physiology</title><addtitle>Neurosci Behav Physi</addtitle><description>Objective.
To study the possibility of using GAP-43 for morphometric characterization of synaptoarchitectonics.
Materials and methods.
Studies used immunofluorescent detection of neuromodulin (GAP-43) by confocal microscopy and automated computer image analysis of layer V (field 4) of the human brain (
n
= 4) using ImageJ 1.46.
Results.
Immunofluorescent detection of GAP-43 identified the distribution of axodendritic and axosomatic synapses, the total area of axon terminals, and the number densities of intermediate and large terminals.
Conclusions.
A necessary condition for obtaining accurate data is having digital images with sufficient resolution (600–900 pixels per inch). These results need to be considered in studies of the synaptoarchitectonics of the neocortex using immunohistochemical methods for investigating synapse structure.</description><subject>Antibodies</subject><subject>Automation</subject><subject>Behavioral Sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Computer terminals</subject><subject>Confocal microscopy</subject><subject>Digital imaging</subject><subject>GAP-43 protein</subject><subject>Hypotheses</subject><subject>Image detection</subject><subject>Image processing</subject><subject>Microscopy</subject><subject>Neocortex</subject><subject>Neurobiology</subject><subject>Neurosciences</subject><subject>Particle size</subject><subject>Presynapse</subject><subject>Synapses</subject><issn>0097-0549</issn><issn>1573-899X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kU9r3DAQxUVJodttPkBvgpzdjuS1bB_LtvkDSXpoC7kJWR7FDrZmI8mQ7ZfJV62WTdtTLjMMvN97MI-xjwI-CYD6cxQCqqoA0RRQgyjUG7YSVV0WTdvenbAVQFsXUG3ad-x9jA-QmbqBFXu-wTRQTxPdj9ZM_BxNWgJGTo6nAfkNhd1AM6YwWr4dTDA2YRh_mzSS_yv6sfdml8gEO4wJbSI_2n8Ol8tsPL9FshQSPvFuz6_mefHkpoVykkWf-Fc8cC-Wt7gEmqlfptF_YG-dmSKevuw1-3X-7ef2srj-fnG1_XJdWFkKlefGglHQC9Wo3pi2LLFvsM132UiQ0imJ6JSqpJOlE6p3Xdf0XdcKhBa7cs3Ojr67QI8LxqQfaAk-R2opqqqSm03-5pqJo8oGijGg07swzibstQB96EEfe9C5B33oQavMyCMTs9bfY_jv_Dr0B0jhj7s</recordid><startdate>2019</startdate><enddate>2019</enddate><creator>Stepanov, A. S.</creator><creator>Akulinin, V. A.</creator><creator>Stepanov, S. S.</creator><creator>Avdeev, D. B.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QR</scope><scope>7TK</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope></search><sort><creationdate>2019</creationdate><title>Methodological Features of the Morphometric Characterization of the Synaptoarchitectonics of the Human Neocortex by Immunofluorescent Detection of Neuromodulin</title><author>Stepanov, A. S. ; Akulinin, V. A. ; Stepanov, S. S. ; Avdeev, D. B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2316-c24c0a60d1686daa933ed8e9d16382022f62eef6652f23f16dfbb8dbb91e09eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Antibodies</topic><topic>Automation</topic><topic>Behavioral Sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Computer terminals</topic><topic>Confocal microscopy</topic><topic>Digital imaging</topic><topic>GAP-43 protein</topic><topic>Hypotheses</topic><topic>Image detection</topic><topic>Image processing</topic><topic>Microscopy</topic><topic>Neocortex</topic><topic>Neurobiology</topic><topic>Neurosciences</topic><topic>Particle size</topic><topic>Presynapse</topic><topic>Synapses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stepanov, A. S.</creatorcontrib><creatorcontrib>Akulinin, V. A.</creatorcontrib><creatorcontrib>Stepanov, S. S.</creatorcontrib><creatorcontrib>Avdeev, D. B.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology Journals</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><jtitle>Neuroscience and behavioral physiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stepanov, A. S.</au><au>Akulinin, V. A.</au><au>Stepanov, S. S.</au><au>Avdeev, D. B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Methodological Features of the Morphometric Characterization of the Synaptoarchitectonics of the Human Neocortex by Immunofluorescent Detection of Neuromodulin</atitle><jtitle>Neuroscience and behavioral physiology</jtitle><stitle>Neurosci Behav Physi</stitle><date>2019</date><risdate>2019</risdate><volume>49</volume><issue>1</issue><spage>103</spage><epage>108</epage><pages>103-108</pages><issn>0097-0549</issn><eissn>1573-899X</eissn><abstract>Objective.
To study the possibility of using GAP-43 for morphometric characterization of synaptoarchitectonics.
Materials and methods.
Studies used immunofluorescent detection of neuromodulin (GAP-43) by confocal microscopy and automated computer image analysis of layer V (field 4) of the human brain (
n
= 4) using ImageJ 1.46.
Results.
Immunofluorescent detection of GAP-43 identified the distribution of axodendritic and axosomatic synapses, the total area of axon terminals, and the number densities of intermediate and large terminals.
Conclusions.
A necessary condition for obtaining accurate data is having digital images with sufficient resolution (600–900 pixels per inch). These results need to be considered in studies of the synaptoarchitectonics of the neocortex using immunohistochemical methods for investigating synapse structure.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11055-018-0701-6</doi><tpages>6</tpages></addata></record> |
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subjects | Antibodies Automation Behavioral Sciences Biomedical and Life Sciences Biomedicine Computer terminals Confocal microscopy Digital imaging GAP-43 protein Hypotheses Image detection Image processing Microscopy Neocortex Neurobiology Neurosciences Particle size Presynapse Synapses |
title | Methodological Features of the Morphometric Characterization of the Synaptoarchitectonics of the Human Neocortex by Immunofluorescent Detection of Neuromodulin |
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