First, distinctive keypoints on the plant need to be found in each image. It is the matching of these keypoints from one view to another that enables a 3D model to be constructed. The scale-invariant feature transform (SIFT) [30] is used for this because the resulting keypoints are inva...
We used SDS–PAGE with a 17% gel to separate the proteins and then transferred the proteins to a nitrocellulose membrane using a wet transfer method (Bio-Rad Mini-PROTEAN Tetra Cell and Mini Trans-Blot Cell), according to the manufacturer’s instructions. The amount loaded corresponded to 1.5...
One noteworthy development is the adoption of three-dimensional (3D) plant phenotyping methods [3]. Advancements in 3D image acquisition and processing methods are increasingly being applied and explored in the agricultural industry: automation and robotics are entering agriculture. Examples are autonomous...
To address this challenge, we have utilized an open‐source 3D software Blender to design Cella, a cell atlas visualization tool, which transforms data into 3D heatmaps that can be rendered into image libraries. Our tool is designed to support especially research on plant development. Data ...
Estevez2,3, Jesper Harholt5, Peter Ulvskov1 & Bent Larsen Petersen1 Extensins are plant cell wall glycoproteins that act as scaffolds for the deposition of the main wall carbohydrate polymers, which are interlocked into the supramolecular wall structure through intra- and inter-...
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Empty CellStemNodePetioleLeafGr. pointOvaryTendrilNon-plant 8-class X X X X X X X X 4-class X X X X 3. Results In this section, the results of the experiments defined in section 2.4 are presented. First, in section 3.1, the results of the segmentation based on geometric data are...
Plant diseases and pests are important factors determining the yield and quality of plants. Plant diseases and pests identification can be carried out by means of digital image processing. In recent years, deep learning has made breakthroughs in the fiel
The value in each cell is color coded (0, 1), ranging from red to blue. Full size image Figure 7 Comparison of classification accuracy of ML methods based on rank features for recovery period data set. The Number of rank features is shown on the left and features categories are shown ...
Cell Biol. 23, 141–161 (2022). Article CAS PubMed Google Scholar Davies, K. M., Blum, T. B. & Kuhlbrandt, W. Conserved in situ arrangement of complex I and III2 in mitochondrial respiratory chain supercomplexes of mammals, yeast, and plants. Proc. Natl Acad. Sci. USA 115, ...