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Extracting subcellular fibrillar alignment with error estimation: Application to microtubules

Abstract : The order and orientation of cortical microtubule (CMT) arrays and their dynamics play an essential role in plant morphogenesis. To extract detailed CMT alignment structures in an objective, local, and accurate way, we propose an error-based extraction method that applies to general fluorescence intensity data on three-dimensional cell surfaces. Building on previous techniques to quantify alignments, our method can determine the statistical error for specific local regions, or the minimal scales of local regions for a desired accuracy goal. After validating our method with synthetic images with known alignments, we demonstrate the ability of our method to quantify subcellular CMT alignments on images with microtubules marked with green fluorescent protein in various cell types. Our method could also be applied to detect alignment structures in other fibrillar elements, such as actin filaments, cellulose, and collagen.
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Submitted on : Wednesday, May 27, 2020 - 2:24:25 PM
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Satoru Tsugawa, Nathan Hervieux, Olivier Hamant, Arezki Boudaoud, Richard S. Smith, et al.. Extracting subcellular fibrillar alignment with error estimation: Application to microtubules. Biophysical Journal, Biophysical Society, 2016, 110 (8), pp.1836-1844. ⟨10.1016/j.bpj.2016.03.011⟩. ⟨hal-02634102⟩



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