From spike to graph—A complete automated single-spike analysis
▶ New automated method for kinetics analysis of single spike without filtering. ▶Improved linear fitting of the rising phase by optimizing the number of samples used. ▶ The foot equation fits both kinds of feet—ramp, or a ramp followed by a plateau. ▶ The software including a full suite statistical...
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Veröffentlicht in: | Journal of neuroscience methods 2010-11, Vol.193 (2), p.271-280 |
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description | ▶ New automated method for kinetics analysis of single spike without filtering. ▶Improved linear fitting of the rising phase by optimizing the number of samples used. ▶ The foot equation fits both kinds of feet—ramp, or a ramp followed by a plateau. ▶ The software including a full suite statistical analysis.
Amperometry is a commonly used technique for detecting the kinetics of single-vesicle exocytosis with excellent temporal and spatial resolution. However, different methods of analyzing the amperometric signals can produce conflicting conclusions. We developed an efficient automated method for kinetics analysis of single spikes that does not filter the data and therefore prevents distortion of the results. The algorithm assesses the signal-to-noise ratios (SNRs) and accordingly, separates the signals using an adjustable two-threshold calculation. This enables comparing data with different SNRs from different setups. The software also includes a complete statistical analysis, with an automated selection of the most appropriate statistical tests and a graphical representation. The algorithms can be used for any other experimental results requiring the separation of signals from noise, making this method useful for many applications. |
doi_str_mv | 10.1016/j.jneumeth.2010.09.004 |
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Amperometry is a commonly used technique for detecting the kinetics of single-vesicle exocytosis with excellent temporal and spatial resolution. However, different methods of analyzing the amperometric signals can produce conflicting conclusions. We developed an efficient automated method for kinetics analysis of single spikes that does not filter the data and therefore prevents distortion of the results. The algorithm assesses the signal-to-noise ratios (SNRs) and accordingly, separates the signals using an adjustable two-threshold calculation. This enables comparing data with different SNRs from different setups. The software also includes a complete statistical analysis, with an automated selection of the most appropriate statistical tests and a graphical representation. The algorithms can be used for any other experimental results requiring the separation of signals from noise, making this method useful for many applications.</description><identifier>ISSN: 0165-0270</identifier><identifier>EISSN: 1872-678X</identifier><identifier>DOI: 10.1016/j.jneumeth.2010.09.004</identifier><identifier>PMID: 20869399</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Action Potentials - physiology ; Algorithms ; Amperometry ; Analysis ; Animals ; Chromaffin ; Electrophysiology - methods ; Models, Neurological ; Neurons - physiology ; Probability ; Signal Processing, Computer-Assisted ; SNR ; Spike ; Statistics ; Statistics, Nonparametric</subject><ispartof>Journal of neuroscience methods, 2010-11, Vol.193 (2), p.271-280</ispartof><rights>2010 Elsevier B.V.</rights><rights>Copyright © 2010 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-d90da956e1c46e9df4d4c5511e063387487d84d1430f6033a793cb8a8483b02a3</citedby><cites>FETCH-LOGICAL-c399t-d90da956e1c46e9df4d4c5511e063387487d84d1430f6033a793cb8a8483b02a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0165027010005169$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20869399$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Friedrich, Reut</creatorcontrib><creatorcontrib>Ashery, Uri</creatorcontrib><title>From spike to graph—A complete automated single-spike analysis</title><title>Journal of neuroscience methods</title><addtitle>J Neurosci Methods</addtitle><description>▶ New automated method for kinetics analysis of single spike without filtering. ▶Improved linear fitting of the rising phase by optimizing the number of samples used. ▶ The foot equation fits both kinds of feet—ramp, or a ramp followed by a plateau. ▶ The software including a full suite statistical analysis.
Amperometry is a commonly used technique for detecting the kinetics of single-vesicle exocytosis with excellent temporal and spatial resolution. However, different methods of analyzing the amperometric signals can produce conflicting conclusions. We developed an efficient automated method for kinetics analysis of single spikes that does not filter the data and therefore prevents distortion of the results. The algorithm assesses the signal-to-noise ratios (SNRs) and accordingly, separates the signals using an adjustable two-threshold calculation. This enables comparing data with different SNRs from different setups. The software also includes a complete statistical analysis, with an automated selection of the most appropriate statistical tests and a graphical representation. The algorithms can be used for any other experimental results requiring the separation of signals from noise, making this method useful for many applications.</description><subject>Action Potentials - physiology</subject><subject>Algorithms</subject><subject>Amperometry</subject><subject>Analysis</subject><subject>Animals</subject><subject>Chromaffin</subject><subject>Electrophysiology - methods</subject><subject>Models, Neurological</subject><subject>Neurons - physiology</subject><subject>Probability</subject><subject>Signal Processing, Computer-Assisted</subject><subject>SNR</subject><subject>Spike</subject><subject>Statistics</subject><subject>Statistics, Nonparametric</subject><issn>0165-0270</issn><issn>1872-678X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkMtKAzEUhoMoWi-vILNzNfXk0kyys4hVoeBGwV1Ik1NNnZvJjNCdD-ET-iSOVt12deDw_f8PHyGnFMYUqDxfjVc19hV2z2MGwxP0GEDskBFVBctloR53yWgAJzmwAg7IYUorGAgNcp8cMFBSc61H5GIWmypLbXjBrGuyp2jb58_3j2nmmqotscPM9l1T2Q59lkL9VGK-gW1ty3UK6ZjsLW2Z8OT3HpGH2dX95U0-v7u-vZzOczfsdLnX4K2eSKROSNR-KbxwkwmlCJJzVQhVeCU8FRyWEji3heZuoawSii-AWX5Ezja9bWxee0ydqUJyWJa2xqZPRmlNOWVabiULyVghGIiBlBvSxSaliEvTxlDZuDYUzLdmszJ_ms23ZgPawE_w9HeiX1To_2N_XgfgYgPgoOQtYDTJBawd-hDRdcY3YdvGF7VykbM</recordid><startdate>20101130</startdate><enddate>20101130</enddate><creator>Friedrich, Reut</creator><creator>Ashery, Uri</creator><general>Elsevier B.V</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>7X8</scope><scope>7TK</scope></search><sort><creationdate>20101130</creationdate><title>From spike to graph—A complete automated single-spike analysis</title><author>Friedrich, Reut ; Ashery, Uri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-d90da956e1c46e9df4d4c5511e063387487d84d1430f6033a793cb8a8483b02a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Action Potentials - physiology</topic><topic>Algorithms</topic><topic>Amperometry</topic><topic>Analysis</topic><topic>Animals</topic><topic>Chromaffin</topic><topic>Electrophysiology - methods</topic><topic>Models, Neurological</topic><topic>Neurons - physiology</topic><topic>Probability</topic><topic>Signal Processing, Computer-Assisted</topic><topic>SNR</topic><topic>Spike</topic><topic>Statistics</topic><topic>Statistics, Nonparametric</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Friedrich, Reut</creatorcontrib><creatorcontrib>Ashery, Uri</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Neurosciences Abstracts</collection><jtitle>Journal of neuroscience methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Friedrich, Reut</au><au>Ashery, Uri</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>From spike to graph—A complete automated single-spike analysis</atitle><jtitle>Journal of neuroscience methods</jtitle><addtitle>J Neurosci Methods</addtitle><date>2010-11-30</date><risdate>2010</risdate><volume>193</volume><issue>2</issue><spage>271</spage><epage>280</epage><pages>271-280</pages><issn>0165-0270</issn><eissn>1872-678X</eissn><abstract>▶ New automated method for kinetics analysis of single spike without filtering. ▶Improved linear fitting of the rising phase by optimizing the number of samples used. ▶ The foot equation fits both kinds of feet—ramp, or a ramp followed by a plateau. ▶ The software including a full suite statistical analysis.
Amperometry is a commonly used technique for detecting the kinetics of single-vesicle exocytosis with excellent temporal and spatial resolution. However, different methods of analyzing the amperometric signals can produce conflicting conclusions. We developed an efficient automated method for kinetics analysis of single spikes that does not filter the data and therefore prevents distortion of the results. The algorithm assesses the signal-to-noise ratios (SNRs) and accordingly, separates the signals using an adjustable two-threshold calculation. This enables comparing data with different SNRs from different setups. The software also includes a complete statistical analysis, with an automated selection of the most appropriate statistical tests and a graphical representation. The algorithms can be used for any other experimental results requiring the separation of signals from noise, making this method useful for many applications.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>20869399</pmid><doi>10.1016/j.jneumeth.2010.09.004</doi><tpages>10</tpages></addata></record> |
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subjects | Action Potentials - physiology Algorithms Amperometry Analysis Animals Chromaffin Electrophysiology - methods Models, Neurological Neurons - physiology Probability Signal Processing, Computer-Assisted SNR Spike Statistics Statistics, Nonparametric |
title | From spike to graph—A complete automated single-spike analysis |
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