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

High throughput confocal imaging poses challenges in the computational image analysis of complex subcellular structures such as the microtubule cytoskeleton. Here, we developed CellArchitect, an automated image analysis tool that quantifies changes to subcellular patterns illustrated by microtubule markers in plants. We screened microtubule‐targeted herbicides and demonstrate that high throughput confocal imaging with integrated image analysis by CellArchitect can distinguish effects induced by the known herbicides indaziflam and trifluralin. The same platform was used to examine 6 other compounds with herbicidal activity, and at least 3 different effects induced by these compounds were profiled. We further show that CellArchitect can detect subcellular patterns tagged by actin and endoplasmic reticulum markers. Thus, the platform developed here can be used to automate image analysis of complex subcellular patterns for purposes such as herbicide discovery and mode of action characterisation. The capacity to use this tool to quantitatively characterize cellular responses lends itself to application across many areas of biology.

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Author Faulkner, Christine
Last Updated November 20, 2019, 16:48 (UTC)
Created August 1, 2019, 10:30 (UTC)
Article Host Type publisher
Article Is Open Access true
Article License Type
Article Version Type publishedVersion
Citation Report https://scite.ai/reports/10.1111/tra.12505
DOI 10.1111/tra.12505
Date Last Updated 2018-12-27T19:54:02.009367
Evidence open (via free pdf)
Funder code(s) Gatsby Charitable Foundation (); H2020 European Research Council (); Bayer Crop Science ()
Journal Is Open Access false
Open Access Status bronze
PDF URL https://onlinelibrary.wiley.com/doi/pdf/10.1111/tra.12505
Publisher URL https://doi.org/10.1111/tra.12505