els’ intensity reduction in confocal image) between successive z-stacks. The signal loss was computed by subtracting the voxels’ intensities between the registered floating image, It ◦ T It ←It+∆t , and the reference image It+∆t and summing up the subtracted values (Scripts are available at the FARE Laboratory Gitlab Repository https://gitlab.com/farelab/teamyr/publications/zoghlami_et_al_sus_chem_2020). 4. Results Using the protocol, we acquired confocal images of pretreated poplar samples during hydrolysis (Figure 7). We could visually observe that the cell walls gradually degraded over time. To illustrate the advantages offered by using this protocol to achieve a quantitative characteriza
Open resource ↗gitlab.com/farelab/teamyr/publications/zoghlami_et_al_sus_chem_2020 · pdf-layout-page:8 lines:1-42Unverified paper record
Three-Dimensional Imaging of Plant Cell Wall Deconstruction Using Fluorescence Confocal Microscopy
Sustainable Chemistry · 30 Jul 2020 · 10.3390/suschem1020007
Abstract
Lignocellulosic biomass (LB) is recalcitrant to enzymatic hydrolysis due to its compact and complex cell wall structure. To identify the parameters behind LB recalcitrance, experimental data over hydrolysis time must be collected. Here, we describe a novel method to collect time-lapse images during cell wall deconstruction by enzymatic hydrolysis. The protocol includes instructions for sample preparation, layout of a custom designed incubation chamber and instructions for confocal time lapse acquisition. The protocol sets out a detailed plan where cross-sections of untreated and pretreated poplar samples are mounted in a sealed frame containing a buffer and an enzymatic cocktail. The sealed frame is then placed into an incubator to maintain the sample at a constant temperature of 50 °C, which is optimal for enzymatic reaction while avoiding enzymatic cocktail evaporation. Using lignin natural autofluorescence, confocal z-stacks of untreated and pretreated samples were acquired at regular time intervals during enzymatic hydrolysis for 24 h. Acquisition parameters were optimized to compromise between image resolution and reduced photo-bleaching. The acquired image might then be processed by further development of algorithms to extract precise quantitative information on cell wall deconstruction. This protocol is an important first step towards elucidating the underlying parameters of LB recalcitrance by allowing the acquisition of high-quality images of LB hydrolysis for extracting quantitative data on LB deconstruction.
Plant phenotyping relevance
ポプラ細胞壁の分解状態を時系列の共焦点3D画像で取得するプロトコル自体が中心であり、植物組織状態の定量的表現型抽出を可能にするため。
abstractHere, we describe a novel method to collect time-lapse images during cell wall deconstruction by enzymatic hydrolysis.
abstractThe protocol includes instructions for sample preparation, layout of a custom designed incubation chamber and instructions for confocal time lapse acquisition.
abstractThe acquired image might then be processed by further development of algorithms to extract precise quantitative information on cell wall deconstruction.
Code and data availability
The paper's authors state that the scripts for computing photobleaching signal loss and image registration/analysis are publicly available in the FARE Laboratory GitLab repository, with an explicit URL matching an allowed URL.
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