Minhee Analysis Package: an integrated software package for detection and management of spontaneous synaptic events.
Algorithms
Analysis of Variance
Animals
Brain
/ physiology
Computer Simulation
Data Display
Male
Mice
Mice, Inbred C57BL
Miniature Postsynaptic Potentials
Models, Neurological
Neurons
/ physiology
Neurophysiology
/ methods
Pyramidal Cells
/ physiology
Software
Statistics, Nonparametric
Synapses
/ physiology
Synaptic Potentials
User-Computer Interface
Workflow
Data analysis software
Data management
Electrophysiology
Event detection
Postsynaptic current
Journal
Molecular brain
ISSN: 1756-6606
Titre abrégé: Mol Brain
Pays: England
ID NLM: 101468876
Informations de publication
Date de publication:
08 09 2021
08 09 2021
Historique:
received:
01
06
2021
accepted:
24
08
2021
entrez:
9
9
2021
pubmed:
10
9
2021
medline:
5
2
2022
Statut:
epublish
Résumé
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 .
Identifiants
pubmed: 34496933
doi: 10.1186/s13041-021-00847-x
pii: 10.1186/s13041-021-00847-x
pmc: PMC8425072
doi:
Types de publication
Comparative Study
Journal Article
Research Support, Non-U.S. Gov't
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
138Informations de copyright
© 2021. The Author(s).
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