Imaging Applications
Imaging Applications - Related Videos
10:53
A Novel Application of Musculoskeletal Ultrasound Imaging
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Cited by 14 •
2013
We describe a new ultrasound-based vector tissue Doppler imaging technique to measure muscle contraction velocity, strain and strain rate with sub-millisecond temporal resolution during dynamic activities. This approach provides complementary measurements of dynamic muscle function and could lead to a better understanding of mechanisms underlying musculoskeletal disorders.
08:21
Wideband Optical Detector of Ultrasound for Medical Imaging Applications
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Cited by 4 •
2014
Optical detection of ultrasound is impractical in many imaging scenarios because it often requires stable environmental conditions. We demonstrate an optical technique for ultrasound sensing in volatile environments with miniaturization and sensitivity levels appropriate for optoacoustic imaging in restrictive scenarios, e.g. intravascular applications.
10:59
An ex-ovo Chicken Embryo Culture System Suitable for Imaging and Microsurgery Applications
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Cited by 61 •
2010
In this article, we present a simple methodology to enable long-term ex-ovo avian embryo culture. This technique is ideal for longitudinal experimentation requiring complete optical accessibility and/or sterile transportation in avian embryos.
11:28
Biofunctionalized Prussian Blue Nanoparticles for Multimodal Molecular Imaging Applications
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Cited by 17 •
2015
This protocol describes the synthesis of biofunctionalized Prussian blue nanoparticles and their use as multimodal, molecular imaging agents. The nanoparticles have a core-shell design where gadolinium or manganese ions within the nanoparticle core generate MRI contrast. The biofunctional shell contains fluorophores for fluorescence imaging and targeting ligands for molecular targeting.
06:01
Fluorescence Lifetime Macro Imager for Biomedical Applications
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2023
This paper describes the use of a new, fast optical imager for the macroscopic photoluminescence lifetime imaging of long decay emitting samples. The integration, image acquisition, and analysis procedures are described, along with the preparation and characterization of the sensor materials for the imaging and the application of the imager in studying biological samples.
FAQs
Image contrast determines which biological features can be distinguished in a recorded image. It depends on both the specimen and the imaging conditions, while the detected signal may arise from emitted fluorescence, transmitted or reflected light, absorption, or electron scattering. Controlling these conditions therefore affects how clearly structures appear and how confidently investigators interpret differences between samples.
These signal types represent different ways that biological material can generate measurable image information. Fluorescence is based on emitted light, whereas transmitted or reflected light records optical interactions with the specimen. Absorption and electron scattering provide additional contrast mechanisms. Selecting among them helps match the detected signal to the biological structure or process being examined.
Quantitative image analysis converts visual information into measurements that can be compared and interpreted. Instead of relying only on appearance, investigators can use image-derived values to relate biological structure to function. This approach strengthens studies of cells, tissues, and processes by making observations measurable and supporting more systematic analysis across samples or experimental conditions.
The biological feature of interest, the available signal, and the required interpretation should guide method selection. Investigators consider whether emitted fluorescence, transmitted or reflected light, absorption, or electron scattering provides the most informative contrast for the specimen. Imaging conditions also matter because they influence how clearly structures and processes can be distinguished in the resulting data.
Repeated imaging allows investigators to examine cellular behavior as it changes over time rather than relying on a single observation. Comparing images across time can connect visible changes with biological processes and provide a basis for interpreting dynamic activity. This capability is particularly relevant when studying development, physiology, or disease-related changes in cells and tissues.
Imaging supports a broad range of biological questions, including identifying cells, examining tissue organization, studying development, and analyzing disease. Its use extends across molecular biology, physiology, and biomedical science. When paired with quantitative analysis, imaging can connect observed structural patterns with function, helping researchers interpret how biological organization relates to ongoing processes.