Image Fusion
Image Fusion - Related Videos
06:10
Live Imaging of Mouse Secondary Palate Fusion
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Cited by 10 •
2017
Here, we present a protocol for live imaging of mouse secondary palate fusion using confocal microscopy. This protocol can be used in combination with a variety of fluorescent reporter mouse lines, and with pathway inhibitors for mechanistic insight. This protocol can be adapted for live imaging in other developmental systems.
02:45
Nuclear Fusion
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2020
The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons. A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
03:58
Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
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Cited by 1 •
2025
This protocol demonstrates a method for fusing pre-operative and post-operative computed tomography images for cochlear implant recipients. The approach may enhance the measurement accuracy of insertion depth and the center frequency of electrode array contacts. Additionally, this method has potential applications in anatomy-based fitting, an emerging area within the cochlear implant field.
04:06
Single-Molecule Imaging to Visualize Fusion Protein Condensates Assembly on DNA Curtains
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2025
This video describes a method to visualize the assembly of fusion protein condensates on DNA molecules at specific loci using single-molecule imaging. These condensates are formed due to LCD-LCD and LCD-DBD interactions, which allow for the recruitment of RNA polymerase II and enhanced gene transcription.
09:19
Analysis of SNARE-mediated Membrane Fusion Using an Enzymatic Cell Fusion Assay
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2012
We have developed a cell fusion assay that quantifies SNARE-mediated membrane fusion events by activated expression of β-galactosidase.
FAQs
Registration aligns the input images so that corresponding anatomical structures, biological features, or functional signals occupy compatible locations. Without this alignment, pixel-, region-, or feature-level comparisons may combine unrelated information. In bioengineering studies, accurate registration is therefore important when integrating measurements from different modalities or when tracking structures across imaging conditions.
These approaches merge information at different levels. Weighted averaging combines image values according to assigned contributions, multiresolution transforms work across image scales, and feature selection retains chosen characteristics from the inputs. The appropriate strategy depends on whether the goal is to emphasize complementary spatial, spectral, or functional information in the fused representation.
A fused representation can retain complementary spatial, spectral, and functional information rather than relying on one measurement alone. For example, one image may contribute structural detail while another contributes a different measurement of the same biological system. This combination supports richer visualization and analysis than either input considered separately.
A workflow begins by aligning the images, then determining whether relevant information should be extracted or compared as pixels, regions, or higher-level features. The final stage applies a merging strategy, such as weighted averaging, a multiresolution transform, or feature selection. These decisions determine which complementary measurements remain visible in the result.
Researchers combine these modalities when a single imaging source does not provide all the information needed for analysis or design. Image Fusion can integrate their complementary measurements to improve anatomical visualization, quantify biological structures, guide interventions, or monitor engineered tissues. The selected modalities depend on the biological question and the information required.
In bioengineering, fused images provide a unified basis for examining anatomy, measuring biological structures, and evaluating engineered tissues. Combining diverse measurements can support data-driven biomedical design and monitoring over time. The resulting representation may also help connect imaging observations with intervention planning, making multimodal analysis relevant to both research and applied biomedical workflows.