This paper proposes a methodology for plant analysis and identification based on extracting texture features from microscopic images of leaf epidermis. All the experiments were carried out using 32 plant species with 309 epidermal samples captured by an
When the researchers looked through the microscope, the miniature world of plant cells and organelles was brought into sharp focus. The rigid lines of cell walls stood out in bas-relief from the tightly packed chlorophyll inside. By honing in on particular wavelengths of light emitted by proteins...
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PlantSegis a tool for cell instance aware segmentation in densely packed 3D volumetric images. The pipeline uses a two stages segmentation strategy (Neural Network + Segmentation). The pipeline is tuned for plant cell tissue acquired with confocal and light sheet microscopy. Pre-trained models are ...
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structural parameters of plant tissueimage analysisconfocal microscopeThe paper presents two methods (automatic and semi-automatic) for quantitative evaluation of cell structural parameters of plant tissues. The methods were developed for images obtained by confocal tandem scanning reflected light microscope....
Here we present a simple level set implementation for the segmentation of plant tissues at both organ- and cell-scale. We present the principles of the level set method as well as its parameters in “Methods” section. Then we demonstrate how this framework can be used to improve segmentation...
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