Image Viewer
Image Viewer - Related Videos
09:18
Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models
0 Views •
2026
This protocol uses a multichamber bed for parallel magnetic resonance imaging (MRI) of up to four animals to detect pancreatic adenocarcinoma tumors in genetically engineered mouse models. This multianimal MRI protocol is fast and cost-effective for detecting and measuring tumors, facilitating animal selection for preclinical studies and longitudinal monitoring of tumor growth.
13:45
Hybrid µCT-FMT imaging and image analysis
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Cited by 34 •
2015
We describe a protocol for hybrid imaging, combining fluorescence-mediated tomography (FMT) with micro computed tomography (µCT). After fusion and reconstruction, we perform interactive organ segmentation to extract quantitative measurements of the fluorescence distribution.
09:08
Multiple-mouse Neuroanatomical Magnetic Resonance Imaging
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Cited by 59 •
2011
Magnetic resonance imaging (MRI) has become an increasingly popular tool for examining the phenotype of genetically altered mice. This article illustrates the methods necessary to achieve high-throughput phenotyping of genetically altered mice using multiple-mouse MRI.
06:46
Non-invasive In Vivo Fluorescence Optical Imaging of Inflammatory MMP Activity Using an Activatable Fluorescent Imaging Agent
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Cited by 4 •
2017
This paper explains the application of fluorescent imaging using an activatable optical imaging probe to visualize the in vivo activity of key matrix metalloproteinases in two different experimental models of inflammation.
08:22
3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats
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Cited by 1 •
2025
The proposed setup allows controlled mechanical ventilation and Magnetic Resonance imaging of 3D thorax movement in mice and rats. We have used this setup to study the pathophysiology underlying mechanical ventilation-induced respiratory muscle dysfunction.
FAQs
These controls change how displayed visual information can be inspected without changing the underlying clinical context. Zooming enlarges regions, panning moves across the displayed image, and windowing or contrast adjustment helps emphasize differences in visual appearance. Together, they can make anatomical structures or pathological features easier to examine during clinical review, education, or research.
Measurements provide a way to record quantitative observations, while annotations mark or describe relevant visual findings. Used together, these features help healthcare professionals communicate about particular areas of an image and create more consistent documentation. They can also support education and research by linking observations directly to the visual information being examined.
An Image Viewer supports longitudinal review by allowing clinicians to inspect image findings from different points in time and document relevant observations. Repeated examination can help users recognize whether visual features appear changed or stable, while annotations and measurements provide a shared record. This supports clearer communication and more consistent documentation during ongoing medical assessment.
A practical workflow begins by opening the relevant digital image and inspecting the displayed information across the areas of interest. The user can then zoom or pan to examine details, adjust windowing or contrast to clarify visual features, and add measurements or annotations when appropriate. Findings can subsequently be documented, communicated, or compared with images from another time point.
Researchers may use an Image Viewer to inspect visual data from radiography, computed tomography, magnetic resonance imaging, or microscopy. The software supports examination of anatomical structures and pathological features, while measurements and annotations help organize observations. Its value extends to research analysis and education, where accessible visual review can support learning, interpretation, and communication.
The viewer provides a common way to inspect digital images from several medical and scientific sources, while the visual information may represent different structures or features. Zooming, panning, windowing, and contrast adjustment help users examine each displayed image according to what it contains. This broad modality coverage supports clinical review, education, and research without limiting analysis to one image source.