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The image processing handbook

John C. Russ
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TLDR
In this paper, the acquisition and use of digital images in a wide variety of scientific fields is discussed. But the focus is on high dynamic range imaging in more than two dimensions.
Abstract
"This guide clearly explains the acquisition and use of digital images in a wide variety of scientific fields. This sixth edition features new sections on selecting a camera with resolution appropriate for use on light microscopes, on the ability of current cameras to capture raw images with high dynamic range, and on imaging in more than two dimensions. It discusses Dmax for X-ray images and combining images with different exposure settings to further extend the dynamic range. This edition also includes a new chapter on shape measurements, a review of new developments in image file searching, and a wide range of new examples and diagrams"

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Journal ArticleDOI

Imaging of collagen and proteoglycan in cartilage sections using Fourier transform infrared spectral imaging

TL;DR: FTIR spectral imaging combines histology-like spatial localization with the quantitative capability of bulk chemical analysis for molecules with a unique spectral signature, such as CS, and can define a unique spatial distribution.
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Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland

TL;DR: In this article, an octocopter was used to investigate the spatio-temporal variations of species composition in a tall grassland in Ontario, Canada, during the growing season (April to December) in 2015.
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Cataclasis and particulate flow in faulted, poorly lithified sediments

TL;DR: In this paper, microscopic observations of normal faults in poorly lithified sediments from the Rio Grande rift, New Mexico, USA, reveal that the mode of grain fracture within the fault zones is controlled by mineralogy and relative grain strength.
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Automated serial sectioning for 3-D analysis of microstructures

TL;DR: In this article, a flexible, low-cost technique for rapidly obtaining three-dimensional (3D) microstructural data in a wide variety of materials is presented. Advantages over previous manual methods are highlighted, and case studies are used to demonstrate the power of the technique for 3-D characterization and the generation of microStructural data for modeling.
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Plant structure visualization by high-resolution X-ray computed tomography

TL;DR: Ex vivo scanning at sub-micron resolution allows the quantification and visualization of the cellular organization of plant tissue samples, making HRXCT a desired tool in developmental plant biology.