An automated quantitative image analysis tool for the identification of microtubule patterns in plants-Reference-Cited by-同舟云学术

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An automated quantitative image analysis tool for the identification of microtubule patterns in plants

Published:2017-08-16 Issue:10 Volume:18 Page:683-693
ISSN:1398-9219
Container-title:Traffic
language:en
Short-container-title:Traffic

Author:

Faulkner Christine¹,Zhou Ji¹,Evrard Alexandre¹,Bourdais Gildas¹,MacLean Dan¹,Häweker Heidrun¹,Eckes Peter²,Robatzek Silke¹

Affiliation:

1. Norwich Research Park; The Sainsbury Laboratory; Norwich UK

2. Bayer AG, Crop Science Division; Industrial Park Hoechst; Frankfurt Germany

Funder

Bayer Crop Science

Gatsby Charitable Foundation

H2020 European Research Council

Publisher

Wiley

Subject

Cell Biology,Genetics,Molecular Biology,Biochemistry,Structural Biology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/tra.12505/fullpdf

Reference31 articles.

1. Systems survey of endocytosis by multiparametric image analysis;Collinet;Nature,2010

2. Next-generation phenotypic screening;Warchal;Future Med Chem,2016

3. Endosidin1 defines a compartment involved in endocytosis of the brassinosteroid receptor BRI1 and the auxin transporters PIN2 and AUX1;Robert;Proc Natl Acad Sci USA,2008

4. Clusters of bioactive compounds target dynamic endomembrane networks in vivo;Drakakaki;Proc Natl Acad Sci USA,2011

5. Small-molecule dissection of brassinosteroid signaling;Codreanu;Methods Mol Biol,2012

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4. Super-resolution imaging and quantitative analysis of microtubule arrays in model neurons show that epothilone D increases the density but decreases the length and straightness of microtubules in axon-like processes;Brain Research Bulletin;2022-11

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