Fluorescence Imaging
Fluorescence 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.
11:41
Rapid Analysis and Exploration of Fluorescence Microscopy Images
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Cited by 3 •
2014
Here we describe a workflow for rapidly analyzing and exploring collections of fluorescence microscopy images using PhenoRipper, a recently developed image-analysis platform.
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.
16:44
Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging
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Cited by 15 •
2009
We suggest a Born normalized approach for Optical Projection Tomography (BnOPT) that accounts for the absorption properties of imaged samples to obtain accurate and quantitative fluorescence tomographic reconstructions. We use the proposed algorithm to reconstruct the fluorescence molecular probe distribution within small animal organs.
07:42
Labeling Stem Cells with Fluorescent Dyes for non-invasive Detection with Optical Imaging
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Cited by 33 •
2008
This video shows techniques for labeling of human embryonic stem cells and mesenchymal stem cells with fluorescent dyes. This technique can be used for an in vivo tracking of transplanted stem cells with optical imaging and for histopathological correlations with fluorescence microscopy.
FAQs
Fluorophores absorb excitation light and release lower-energy emission light. Fluorescence Imaging separates these two light ranges with optical filters, allowing emitted signal to be distinguished from the illumination used to stimulate it. This separation reduces background contribution and helps reveal labeled molecules, cellular structures, or compartments with greater molecular specificity than an image based only on general transmitted light.
The labeling strategy determines which biological target becomes visible. Fluorescent proteins can mark proteins in biological specimens, antibody conjugates can identify selected molecular targets, and chemical dyes can highlight cellular features. Because these labels support different visualization purposes, researchers choose among them according to whether they need to track protein localization, identify compartments, or monitor cellular signaling.
Living specimens allow researchers to observe changes and dynamic interactions as they occur, including patterns associated with cell signaling. Fixed specimens provide a preserved sample for examining molecular localization and cellular organization at a selected time point. This distinction makes the method useful both for studying biological dynamics and for analyzing the spatial arrangement of structures in a stabilized specimen.
A typical workflow begins by selecting a fluorescent protein, antibody conjugate, or chemical dye that marks the biological feature of interest. Researchers then prepare a living or fixed specimen, illuminate the fluorophore with excitation light, and collect the resulting emission. Optical filters and detectors separate the signal from background illumination, enabling formation of the final image.
Optical filters isolate the emitted fluorescence from excitation light and other background illumination, while detectors capture the separated signal to produce an image. Their coordinated use is important because the biological information depends on detecting label-derived emission rather than the stronger light used for excitation. The resulting separation supports visualization of specific molecules and cellular structures.
In biology, the method can show where proteins are located, reveal cellular compartments, and monitor changes in cell signaling. It also supports observation of dynamic interactions within complex biological systems. These capabilities make it relevant to cell biology, development, and investigations of disease mechanisms, where spatial localization and changing molecular behavior provide important experimental information.