Discrimination analysis of excitatory and inhibitory neurons using Raman spectroscopy
We have succeeded in discriminating between intact excitatory and inhibitory neuronal cells with Raman analysis. Excitatory and inhibitory neurons have several differences in their electric activities, but it can be difficult to determine their types based only on visual appearances. As Raman spectr...
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| Veröffentlicht in: | Analyst (London) 2018-06, Vol.143 (12), p.2889-2894 |
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| creator | Hashimoto, Kosuke Andriana, Bibin B Matsuyoshi, Hiroko Sato, Hidetoshi |
| description | We have succeeded in discriminating between intact excitatory and inhibitory neuronal cells with Raman analysis. Excitatory and inhibitory neurons have several differences in their electric activities, but it can be difficult to determine their types based only on visual appearances. As Raman spectroscopy does not require any staining or labeling, its use in live neuronal cells is possible. In the present study, we used primary neurons obtained from rat cerebral cortexes, which we cultured on a glial feeder layered culturing dish for 15 days. The Raman spectra of the intact neurons on the dish were obtained; the neurons were then immunostained and their types determined. Partial least squares regression-discriminant analysis (PLSR-DA) was employed for classification of the excitatory and inhibitory neurons. The results demonstrated a high feasibility for use of Raman spectroscopy for discrimination analysis of inhibitory and excitatory neurons in a nondestructive manner.
We have succeeded in discriminating between intact excitatory and inhibitory neuronal cells with Raman analysis. |
| doi_str_mv | 10.1039/c8an00051d |
| format | Article |
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We have succeeded in discriminating between intact excitatory and inhibitory neuronal cells with Raman analysis.</description><subject>Animals</subject><subject>Cerebral cortex</subject><subject>Cerebral Cortex - cytology</subject><subject>Discriminant Analysis</subject><subject>Discrimination</subject><subject>Feasibility studies</subject><subject>Least-Squares Analysis</subject><subject>Neurons</subject><subject>Neurons - cytology</subject><subject>Primary Cell Culture</subject><subject>Raman spectra</subject><subject>Raman spectroscopy</subject><subject>Rats</subject><subject>Rats, Wistar</subject><subject>Regression analysis</subject><subject>Spectrum analysis</subject><subject>Spectrum Analysis, Raman</subject><issn>0003-2654</issn><issn>1364-5528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkUtLAzEUhYMotlY37pUBNyKM5p2ZZWl9gSiIXQ93MqmmtElNZsD598bWB7i6nHs_DpxzETom-JJgVl7pAhzGWJBmBw0JkzwXgha7aJiWLKdS8AE6iHGRJMEC76MBLVUpOedDNJvaqINdWQet9S4DB8s-2pj5eWY-tG2h9aFP6yaz7s3WdiOd6YJ3Meuida_ZM6zAZXFtdBt81H7dH6K9OSyjOfqeIzS7uX6Z3OUPT7f3k_FDrjlmbU4kgKBEMdE0sqiVoo1SBTWAC86NFFCQogYgWjbNnJSEKE214kYwY7CqgY3Q-dZ3Hfx7Z2JbrVIcs1yCM76LFcVcUKmkYgk9-4cufBdS2i9KMIZFSXiiLraUTkliMPNqncqB0FcEV19lV5Ni_Lgpe5rg02_Lrl6Z5hf9aTcBJ1sgRP17_fsW-wT3cYP-</recordid><startdate>20180611</startdate><enddate>20180611</enddate><creator>Hashimoto, Kosuke</creator><creator>Andriana, Bibin B</creator><creator>Matsuyoshi, Hiroko</creator><creator>Sato, Hidetoshi</creator><general>Royal Society of Chemistry</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3780-2731</orcidid><orcidid>https://orcid.org/0000-0003-4202-5401</orcidid></search><sort><creationdate>20180611</creationdate><title>Discrimination analysis of excitatory and inhibitory neurons using Raman spectroscopy</title><author>Hashimoto, Kosuke ; Andriana, Bibin B ; Matsuyoshi, Hiroko ; Sato, Hidetoshi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-16aa521735dd68b772d7782ea0844e65a818baa1c6ddf19117c2c74e53ee07ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Animals</topic><topic>Cerebral cortex</topic><topic>Cerebral Cortex - cytology</topic><topic>Discriminant Analysis</topic><topic>Discrimination</topic><topic>Feasibility studies</topic><topic>Least-Squares Analysis</topic><topic>Neurons</topic><topic>Neurons - cytology</topic><topic>Primary Cell Culture</topic><topic>Raman spectra</topic><topic>Raman spectroscopy</topic><topic>Rats</topic><topic>Rats, Wistar</topic><topic>Regression analysis</topic><topic>Spectrum analysis</topic><topic>Spectrum Analysis, Raman</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hashimoto, Kosuke</creatorcontrib><creatorcontrib>Andriana, Bibin B</creatorcontrib><creatorcontrib>Matsuyoshi, Hiroko</creatorcontrib><creatorcontrib>Sato, Hidetoshi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Analyst (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hashimoto, Kosuke</au><au>Andriana, Bibin B</au><au>Matsuyoshi, Hiroko</au><au>Sato, Hidetoshi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Discrimination analysis of excitatory and inhibitory neurons using Raman spectroscopy</atitle><jtitle>Analyst (London)</jtitle><addtitle>Analyst</addtitle><date>2018-06-11</date><risdate>2018</risdate><volume>143</volume><issue>12</issue><spage>2889</spage><epage>2894</epage><pages>2889-2894</pages><issn>0003-2654</issn><eissn>1364-5528</eissn><abstract>We have succeeded in discriminating between intact excitatory and inhibitory neuronal cells with Raman analysis. Excitatory and inhibitory neurons have several differences in their electric activities, but it can be difficult to determine their types based only on visual appearances. As Raman spectroscopy does not require any staining or labeling, its use in live neuronal cells is possible. In the present study, we used primary neurons obtained from rat cerebral cortexes, which we cultured on a glial feeder layered culturing dish for 15 days. The Raman spectra of the intact neurons on the dish were obtained; the neurons were then immunostained and their types determined. Partial least squares regression-discriminant analysis (PLSR-DA) was employed for classification of the excitatory and inhibitory neurons. The results demonstrated a high feasibility for use of Raman spectroscopy for discrimination analysis of inhibitory and excitatory neurons in a nondestructive manner.
We have succeeded in discriminating between intact excitatory and inhibitory neuronal cells with Raman analysis.</abstract><cop>England</cop><pub>Royal Society of Chemistry</pub><pmid>29796444</pmid><doi>10.1039/c8an00051d</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-3780-2731</orcidid><orcidid>https://orcid.org/0000-0003-4202-5401</orcidid></addata></record> |
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| source | MEDLINE; Royal Society of Chemistry Journals Archive (1841-2007); Royal Society Of Chemistry Journals 2008-; Alma/SFX Local Collection |
| subjects | Animals Cerebral cortex Cerebral Cortex - cytology Discriminant Analysis Discrimination Feasibility studies Least-Squares Analysis Neurons Neurons - cytology Primary Cell Culture Raman spectra Raman spectroscopy Rats Rats, Wistar Regression analysis Spectrum analysis Spectrum Analysis, Raman |
| title | Discrimination analysis of excitatory and inhibitory neurons using Raman spectroscopy |
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