In Vivo Imaging
In Vivo Imaging - Related Videos
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.
05:06
Bioluminescent Bacterial Imaging In Vivo
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Cited by 9 •
2012
This article describes the administration of lux-tagged bacteria to mice and subsequent in vivo analysis using IVIS bioluminescence imaging.
07:15
Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
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Cited by 1 •
2025
Optical clearing techniques, such as absorbing molecules solutions, reduce light scattering temporarily to enhance biological imaging and offer biocompatible, reversible in vivo imaging strategies for deeply embedded organs. This protocol presents detailed experimental procedures as well as advanced image processing to achieve high-quality, dynamic imaging for real-time dynamics in living animals.
11:51
Mesoscopic Fluorescence Tomography for In-vivo Imaging of Developing Drosophila
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Cited by 9 •
2009
Mesoscopic fluorescence tomography operates beyond the penetration limits of tissue-sectioning fluorescence microscopy. The technique is based on multi-projection illumination and a photon transport description. We demonstrate in-vivo whole-body 3D visualization of the morphogenesis of GFP-expressing wing imaginal discs in Drosophila melanogaster.
11:06
In vivo Neuronal Calcium Imaging in C. elegans
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Cited by 20 •
2013
With its small transparent body, well-documented neuroanatomy and a host of amenable genetic techniques and reagents, C. elegans makes an ideal model organism for in vivo neuronal imaging using relatively simple, low-cost techniques. Here we describe single neuron imaging within intact adult animals using genetically encoded fluorescent calcium indicators.
FAQs
The signal determines which biological feature becomes visible. Fluorescence and bioluminescence can report labeled or genetically encoded activity, while ultrasound, X-rays, and magnetic resonance provide other signal types for image formation. Modality selection therefore links the image to a particular structure, process, or activity rather than treating all images as equivalent.
These additions provide signals that can make a biological target or activity detectable within the living subject. Contrast agents support image generation, while genetically encoded reporters connect a measurable signal with cellular or molecular activity. Their use can extend imaging beyond anatomy, helping researchers follow gene expression or other dynamic biological events over time.
Repeated imaging follows changes in the same subject across time, rather than comparing only separate samples collected at a final endpoint. This longitudinal design can show movement, development, disease progression, or treatment response as a sequence of events. It also reduces the need for endpoint sampling, preserving the ability to observe continuing biological change in that subject.
Planning begins by matching the question to the signal that must be detected, such as cell movement, gene expression, tissue development, disease progression, or treatment response. Researchers then select a compatible modality and determine whether a contrast agent or genetically encoded reporter is needed. Repeated measurements are useful when the goal is to characterize change over time.
Because observations occur within intact living tissue, researchers can examine biological activity in its native physiological context instead of relying only on removed or destroyed samples. This is especially relevant when spatial relationships, cell movement, tissue development, or treatment responses change over time. The observations connect biological events with the conditions in which they naturally occur.
Serial images can place disease progression and treatment response on the same time course, allowing researchers to observe how those processes change within an individual subject. The approach can also reveal cell movement or tissue development alongside these outcomes. This combination supports biological studies that need dynamic evidence rather than a single final observation.