1. An automated quantitative image analysis tool for the identification of microtubule patterns in plants
- Author
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Gildas Bourdais, Christine Faulkner, A. Evrard, Heidrun Häweker, Ji Zhou, Dan MacLean, Peter Eckes, and Silke Robatzek
- Subjects
0106 biological sciences ,0301 basic medicine ,Arabidopsis ,Bioimage informatics ,Biology ,Microtubules ,01 natural sciences ,Biochemistry ,law.invention ,03 medical and health sciences ,Confocal imaging ,Tubulin ,Structural Biology ,Microtubule ,Confocal microscopy ,law ,Genetics ,Molecular Biology ,Arabidopsis Proteins ,Herbicides ,Triazines ,Microtubule cytoskeleton ,Optical Imaging ,Cell Biology ,Actins ,Tubulin Modulators ,High-Throughput Screening Assays ,Trifluralin ,Cell biology ,030104 developmental biology ,Indenes ,Indaziflam ,Identification (biology) ,Protein Binding ,010606 plant biology & botany - Abstract
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 six other compounds with herbicidal activity, and at least three 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 characterise cellular responses lends itself to application across many areas of biology.
- Published
- 2017
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