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Minhee Analysis Package: an integrated software package for detection and management of spontaneous synaptic events
To understand the information encoded in a connection between the neurons, postsynaptic current (PSC) has been widely measured as a primary index of synaptic strength in the field of neurophysiology. Although several automatic detection methods for PSCs have been proposed to simplify a workflow in t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425072/ https://www.ncbi.nlm.nih.gov/pubmed/34496933 http://dx.doi.org/10.1186/s13041-021-00847-x |
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author | Kim, Yong Gyu Shin, Jae Jin Kim, Sang Jeong |
author_facet | Kim, Yong Gyu Shin, Jae Jin Kim, Sang Jeong |
author_sort | Kim, Yong Gyu |
collection | PubMed |
description | To understand the information encoded in a connection between the neurons, postsynaptic current (PSC) has been widely measured as a primary index of synaptic strength in the field of neurophysiology. Although several automatic detection methods for PSCs have been proposed to simplify a workflow in the analysis, repetitive steps such as quantification and management of PSC data should be still performed with much effort. Here, we present Minhee Analysis Package, an integrated standalone software package that is capable of detecting, sorting, and quantifying PSC data. First, we developed a stepwise exploratory algorithm to detect PSC and validated our detection algorithm using the simulated and experimental data. We also described all the features and examples of the package so that users can use and follow them properly. In conclusion, our software package is expected to improve the convenience and efficiency of neurophysiologists to analyze PSC data by simplifying the workflow from detection to quantification. Minhee Analysis Package is freely available to download from http://www.github.com/parkgilbong/Minhee_Analysis_Pack. |
format | Online Article Text |
id | pubmed-8425072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84250722021-09-10 Minhee Analysis Package: an integrated software package for detection and management of spontaneous synaptic events Kim, Yong Gyu Shin, Jae Jin Kim, Sang Jeong Mol Brain Methodology To understand the information encoded in a connection between the neurons, postsynaptic current (PSC) has been widely measured as a primary index of synaptic strength in the field of neurophysiology. Although several automatic detection methods for PSCs have been proposed to simplify a workflow in the analysis, repetitive steps such as quantification and management of PSC data should be still performed with much effort. Here, we present Minhee Analysis Package, an integrated standalone software package that is capable of detecting, sorting, and quantifying PSC data. First, we developed a stepwise exploratory algorithm to detect PSC and validated our detection algorithm using the simulated and experimental data. We also described all the features and examples of the package so that users can use and follow them properly. In conclusion, our software package is expected to improve the convenience and efficiency of neurophysiologists to analyze PSC data by simplifying the workflow from detection to quantification. Minhee Analysis Package is freely available to download from http://www.github.com/parkgilbong/Minhee_Analysis_Pack. BioMed Central 2021-09-08 /pmc/articles/PMC8425072/ /pubmed/34496933 http://dx.doi.org/10.1186/s13041-021-00847-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Kim, Yong Gyu Shin, Jae Jin Kim, Sang Jeong Minhee Analysis Package: an integrated software package for detection and management of spontaneous synaptic events |
title | Minhee Analysis Package: an integrated software package for detection and management of spontaneous synaptic events |
title_full | Minhee Analysis Package: an integrated software package for detection and management of spontaneous synaptic events |
title_fullStr | Minhee Analysis Package: an integrated software package for detection and management of spontaneous synaptic events |
title_full_unstemmed | Minhee Analysis Package: an integrated software package for detection and management of spontaneous synaptic events |
title_short | Minhee Analysis Package: an integrated software package for detection and management of spontaneous synaptic events |
title_sort | minhee analysis package: an integrated software package for detection and management of spontaneous synaptic events |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8425072/ https://www.ncbi.nlm.nih.gov/pubmed/34496933 http://dx.doi.org/10.1186/s13041-021-00847-x |
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