Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.simpa.2021.100153
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dc.titleMeshworks Analyzer: Quantitative analysis software for super-resolved actin cortex architecture
dc.contributor.authorLiu, Shiying
dc.contributor.authorZhang, Zhen
dc.contributor.authorKanchanawong, Pakorn
dc.date.accessioned2022-10-13T07:30:31Z
dc.date.available2022-10-13T07:30:31Z
dc.date.issued2021-10-01
dc.identifier.citationLiu, Shiying, Zhang, Zhen, Kanchanawong, Pakorn (2021-10-01). Meshworks Analyzer: Quantitative analysis software for super-resolved actin cortex architecture. Software Impacts 10 : 100153. ScholarBank@NUS Repository. https://doi.org/10.1016/j.simpa.2021.100153
dc.identifier.issn2665-9638
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/233096
dc.description.abstractThe Meshworks Analyzer software is developed to quantify the network architecture of actin filaments in the actin cortex of mouse embryonic stem cells (mESCs). As observed by super-resolution microscopy, the actin cortex of mESCs exhibits an isotropic meshwork organization interspersed with locally radial architecture. After segmentation based on network pores, Meshworks Analyzer is able to provide quantitative parameters, such as pore area, pore edge length, estimated pore vertex angle, and overall filament density to reflect network density and geometry. This software contributes in-depth analysis of the unique actin cortex meshwork in mESCs and enables quantitative comparison of network architecture between pharmacological treatments or genetic manipulations, thus allowing image-based molecular mechanistic dissection. © 2021 The Author(s)
dc.publisherElsevier B.V.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus OA2021
dc.subjectActin cortex
dc.subjectMeshwork
dc.subjectSingle molecule localization microscopy
dc.subjectSuper-resolution microscopy
dc.typeArticle
dc.contributor.departmentMECHANOBIOLOGY INSTITUTE
dc.contributor.departmentCOLLEGE OF DESIGN AND ENGINEERING
dc.description.doi10.1016/j.simpa.2021.100153
dc.description.sourcetitleSoftware Impacts
dc.description.volume10
dc.description.page100153
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