@inbook{5cd087d2fa084cdcaa740f6c50f98fb1,
title = "Quantifying the polymerization dynamics of plant cortical microtubules using kymograph analysis",
abstract = "The plant cortical microtubule array is a dynamic structure that confers cell shape and enables plants to alter their growth and development in response to internal and external cues. Cells use a variety of microtubule regulatory proteins to spatially and temporally modulate the intrinsic polymerization dynamics of cortical microtubules to arrange them into specific configurations and to reshape arrays to adapt to changing conditions. To obtain mechanistic insight into how particular microtubule regulatory proteins mediate the dynamic (re)structuring of cortical microtubule arrays, we need to measure their effect on the dynamics of cortical microtubules. In this chapter, we describe new ImageJ plugins to generate kymographs from time-lapse images and to analyze them to measure the parameters that quantitatively describe cortical microtubule dynamics.",
keywords = "Arabidopsis, Dynamic instability, ImageJ, Interpolation, Key frame, Microtubule-associated proteins, Microtubules, Space-time plot",
author = "Rudy Zhou and Han Liu and Tao Ju and Ram Dixit",
note = "Funding Information: We thank Rachappa Balkunde for his help and providing example datasets during the development of these plugins. This work was supported by NSF grant 1453726 to R.D. and NSF grants RI-1618685 and DBI-1759836 to T.J. Publisher Copyright: {\textcopyright} 2020 Elsevier Inc.",
year = "2020",
doi = "10.1016/bs.mcb.2020.04.006",
language = "English",
isbn = "9780128215333",
series = "Methods in Cell Biology",
publisher = "Academic Press Inc.",
pages = "281--293",
editor = "Anderson, {Charles T.} and Haswell, {Elizabeth S.} and Ram Dixit",
booktitle = "Plant Cell Biology",
}