Please use this identifier to cite or link to this item: https://doi.org/10.1091/mbc.E16-06-0421
Title: Extracting microtubule networks from superresolution single-molecule localization microscopy data
Authors: Zhang, Zhen 
Nishimura, Yukako 
Kanchanawong, Pakorn 
Keywords: Science & Technology
Life Sciences & Biomedicine
Cell Biology
SELF-REPAIR
ACTIN
RESOLUTION
ORGANIZATION
DYNAMICS
REVEALS
FLUOROPHORES
ARCHITECTURE
DOWNSTREAM
CHALLENGES
Issue Date: 15-Jan-2017
Publisher: AMER SOC CELL BIOLOGY
Citation: Zhang, Zhen, Nishimura, Yukako, Kanchanawong, Pakorn (2017-01-15). Extracting microtubule networks from superresolution single-molecule localization microscopy data. MOLECULAR BIOLOGY OF THE CELL 28 (2) : 333-345. ScholarBank@NUS Repository. https://doi.org/10.1091/mbc.E16-06-0421
Abstract: Microtubule filaments form ubiquitous networks that specify spatial organization in cells. However, quantitative analysis of microtubule networks is hampered by their complex architecture, limiting insights into the interplay between their organization and cellular functions. Although superresolution microscopy has greatly facilitated high-resolution imaging of microtubule filaments, extraction of complete filament networks from such data sets is challenging. Here we describe a computational tool for automated retrieval of microtubule filaments from single-molecule-localization-based superresolution microscopy images. We present a user-friendly, graphically interfaced implementation and a quantitative analysis of microtubule network architecture phenotypes in fibroblasts.
Source Title: MOLECULAR BIOLOGY OF THE CELL
URI: https://scholarbank.nus.edu.sg/handle/10635/194070
ISSN: 10591524
19394586
DOI: 10.1091/mbc.E16-06-0421
Appears in Collections:Staff Publications
Elements

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Extracting microtubule networks from superresolution single-molecule localization microscopy data.pdf4.4 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.