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Detection and characterization of spike architecture based on deep learning and X-ray computed tomography in barley
BackgroundSpike is the grain-bearing organ in cereal crops, which is a key proxy indicator determining the grain yield and quality. Machine learning...
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X-Ray Crystallography for Macromolecular Complexes
X-ray crystallography has for most of the last century been the standard technique to determine the high-resolution structure of biological...
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Foraging behavior and the nest architecture of a high-Andean stingless bee (Hymenoptera: Apidae: Meliponini) revealed by X-ray computerized tomography
Stingless bees (Hymenoptera: Apidae: Meliponini) are key pollinators of both cultivated and wild plants in tropical and subtropical areas of the...
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X-Ray Computed Tomography for 3D Anatomical Analysis of Resin Ducts
Digital imaging using high-resolution X-ray micro-computed tomography has become a methodology with increasing importance for assessing wood tissues....
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Three-dimensional modeling of moisture transport in wood using near-infrared hyperspectral imaging and X-ray computed tomography in conjunction with finite element analysis
In past studies, finite element analysis (FEA) methods have been used to simulate the thermal and moisture coupling of wood. However, challenges...
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Convolutional neural networks combined with conventional filtering to semantically segment plant roots in rapidly scanned X-ray computed tomography volumes with high noise levels
BackgroundX-ray computed tomography (CT) is a powerful tool for measuring plant root growth in soil. However, a rapid scan with larger pots, which is...
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Toward robust and high-throughput detection of seed defects in X-ray images via deep learning
BackgroundThe detection of internal defects in seeds via non-destructive imaging techniques is a topic of high interest to optimize the quality of...
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X-ray driven peanut trait estimation: computer vision aided agri-system transformation
BackgroundIn India, raw peanuts are obtained by aggregators from smallholder farms in the form of whole pods and the price is based on a manual...
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4D Structural root architecture modeling from digital twins by X-Ray Computed Tomography
BackgroundBreakthrough imaging technologies may challenge the plant phenoty** bottleneck regarding marker-assisted breeding and genetic map**. In...
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Fibre directions at a branch-stem junction in Norway spruce: a microscale investigation using X-ray computed tomography
The connection between branch and trunk in a tree must be strong enough to transfer all loads acting on the branch, and it is well known that such...
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Integrating X-ray CT Data into Models
X-ray Computed Tomography (X-ray CT) offers important 4-D (i.e., 3-D scanning over time) structural information of the soil architecture. This...
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40 Years of X-ray CT in Soil: Historical Context
In December 1973 Godfrey Hounsfield published his seminal paper on transverse axial scanning, describing a methodology that could non-destructively...
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Synchrotron tomography applications in agriculture and food sciences research: a review
Synchrotron imaging is widely used for research in many scientific disciplines. This article introduces the characteristics of synchrotron X-ray...
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3D characterization of walnut morphological traits using X-ray computed tomography
BackgroundWalnuts are grown worldwide in temperate areas and producers are facing an increasing demand. In a climate change context, the industry...
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High-Resolution Tomography, Molecular Model Building and Visualization
A long sought-after goal in cellular biology is to be able to visualize macromolecular complexes inside cells at resolutions that are sufficient to...
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Fundamentals of Instrumentation and Electron Optics for Cryo-Electron Tomography
This chapter takes a close look at the hardware side of transmission electron microscopy and, by extension, its applications in cryo-electron...
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X-ray Computed Tomography Image Processing & Segmentation: A Case Study Applying Machine Learning and Deep Learning-Based Strategies
The output of CT imaging (after reconstruction) of soil samples are grayscale images with a series of gray values corresponding to soil components...
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Ensemble Models for Covid Prediction in X-Ray Images
Due to the urgency of the COVID pandemic, it is necessary to develop new and quick methods to detect the infection and stop the spread of the...