Advanced Imaging
Advanced Imaging - Related Videos
10:33
Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
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Cited by 3 •
2019
The overall goal of this procedure is to obtain quantitative microstructural information of the hippocampus in a rat with mild traumatic brain injury. This is done using an advanced diffusion-weighted magnetic resonance imaging protocol and region-of-interest based analysis of parametric diffusion maps.
08:31
Advancing High-Resolution Imaging of Virus Assemblies in Liquid and Ice
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Cited by 6 •
2022
Here protocols are described to prepare virus assemblies suitable for liquid-EM and cryo-EM analysis at the nanoscale using transmission electron microscopy.
07:14
Microfabrication of Implantable Optics Integrated in a Microstructured Imaging Window for Advanced In Vivo Imaging
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2025
This protocol describes the fabrication of an implantable integrated imaging window using 3D laser printing. The window consists of a system of microlenses coupled with micro-scaffolds. The method involves two-photon polymerization (2PP) of the biocompatible photoresist SZ2080 in a continuous sequence, optimizing manufacturing efficiency and alignment between the different components.
07:41
Advanced Compositional Analysis of Nanoparticle-polymer Composites Using Direct Fluorescence Imaging
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Cited by 1 •
2016
Here we present a reliable method to monitor the incorporation of nanoparticles into a polymer host matrix via swell encapsulation. We show that the surface concentration of cadmium selenide quantum dots can be accurately visualized through cross-sectional fluorescence imaging.
00:56
Extraction: Advanced Methods
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2024
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is formed in...
FAQs
Fluorescence labeling marks selected biological targets so their signals can be distinguished during image acquisition. This makes it possible to examine molecular localization and interactions with greater specificity than an unlabeled view. In practice, the labeled target determines which cellular structure or process becomes visible, linking the image to a focused biological question.
Laser scanning collects optical signals across a specimen, while optical sectioning restricts recorded information to defined spatial layers. Together, these principles help resolve structures within cells and tissues rather than treating the sample as a single undifferentiated view. The resulting sections support spatial analysis of organization and molecular localization.
Electron-beam detection is especially valuable when the question concerns ultrastructure at nanometer-scale resolution. Its role differs from approaches aimed at observing living cellular dynamics: it provides highly detailed structural information, whereas live-system imaging supports temporal tracking. Selecting between them depends on whether the priority is fine structure, ongoing behavior, or complementary views of both.
Computational image reconstruction transforms collected signals into interpretable spatial information rather than relying only on direct visual inspection. It can support images produced through optical or electron-based detection when processing is needed to reveal meaningful patterns. Quantitative image analysis then converts features such as localization or organization into measurable outcomes for systematic comparison.
A biology imaging workflow begins by defining the structure, interaction, or process to be examined, then selecting a compatible signal and acquisition principle. Fluorescence labeling can support molecular localization, while laser scanning or optical sectioning can provide spatially resolved views. Image reconstruction and quantitative analysis follow when needed, keeping the method aligned with the biological question.
Advanced Imaging connects visual patterns with biological outcomes. Researchers can use its spatial and temporal information to investigate development, disease mechanisms, cell signaling, and tissue organization. The resulting data can show where molecules are located, how cellular processes change over time, or how structures are arranged, supporting both descriptive observations and quantitative biological studies.