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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

Automated local bright feature image analysis of nuclear protein distribution identifies changes in tissue phenotype

TL;DR: These imaging methods are capable of identifying alterations linked not only to the proliferation status but also to the malignant character of cells, suggesting that this quantitative analysis of nuclear protein distribution will have additional applications for classifying normal and pathological tissues.

Autonomous navigation for Deep Space Missions

TL;DR: In this article, a self-contained onboard, autonomous navigation system for the Deep Space 1 mission, called AutoNav, is presented. But it does not address the human factors in ground-based processing.
Book ChapterDOI

The Eye-RIS CMOS Vision System

TL;DR: This chapter outlines the concept of the Eye-RIS system and its main components and presents experimental data to illustrate its practical operation.
Journal ArticleDOI

Color Subtractive–Computer-assisted Image Analysis for Quantification of Cutaneous Nerves in a Diabetic Mouse Model

TL;DR: In an effort to quickly, objectively, and reproducibly quantify cutaneous innervation in a large number of counterstained tissue sections, a color subtractive–computer-assisted image analysis (CS–CAIA) system is developed and tested.
Journal ArticleDOI

Gap junction processing and redistribution revealed by quantitative optical measurements of connexin46 epitopes in the lens.

TL;DR: The findings suggest that the processing and redistribution of gap junction proteins is central to controlling radial and circumferential solute gradients in different regions within the lens.