Nano-structural Analysis
Nano-structural Analysis - Related Videos
12:30
Structural Information from Single-molecule FRET Experiments Using the Fast Nano-positioning System
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Cited by 12 •
2017
We present the setup and experimental procedure to obtain smFRET data from large donor-acceptor networks with a TIRF microscope. The step-by-step analysis of these measurements with the Bayesian inference software Fast-NPS yields high-resolved structural information via the application of adapted dye models.
10:27
Fabrication of Nano-engineered Transparent Conducting Oxides by Pulsed Laser Deposition
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Cited by 15 •
2013
We describe the experimental method to deposit nanostructured oxide thin films by nanosecond Pulsed Laser Deposition (PLD) in the presence of a background gas. By using this method Al-doped ZnO (AZO) films, from compact to hierarchically structured as nano-tree forests, can be deposited.
11:17
Comparative Analysis of Human Growth Hormone in Serum Using SPRi, Nano-SPRi and ELISA Assays
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Cited by 9 •
2016
The proposed work assesses the diagnostic potential of direct and amplified surface plasmon resonance imaging (SPRi) assays, particularly for the detection of recombinant human growth hormone in spiked human serum, by comparing SPRi results directly with commercially available enzyme-linked immunosorbent assay (ELISA) kit.
11:10
Fabrication and Operation of a Nano-Optical Conveyor Belt
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2015
The scalability and resolution of conventional optical manipulation techniques are limited by diffraction. We circumvent the diffraction limit and describe a method of optically transporting nanoparticles across a chip using a gold surface patterned with a path of closely spaced C-shaped plasmonic resonators.
13:43
Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
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Cited by 15 •
2013
We describe a correlative microscopy method that combines high-speed 3D live-cell fluorescent light microscopy and high-resolution cryo-electron tomography. We demonstrate the capability of the correlative method by imaging dynamic, small HIV-1 particles interacting with host HeLa cells.
FAQs
The key step is relating nanoscale observations to larger-scale material performance. Grain boundaries, interfaces, pores, defects, and molecular or crystal arrangements can alter how a material responds, even when those features occupy only small regions. By comparing local structure with measured behavior, engineers can identify which structural variations influence strength, conductivity, catalytic activity, barrier performance, or failure.
These measurement types provide complementary evidence rather than interchangeable results. Imaging reveals nanoscale morphology, diffraction examines structural or crystal arrangements, spectroscopy supplies compositional information, and scanning probe measurements characterize surface-related features. Combining them helps distinguish whether an observed engineering effect arises from shape, arrangement, composition, or a localized structural irregularity.
These features can become controlling locations for material behavior because they interrupt, separate, or modify the surrounding structure. Their presence and arrangement may help explain changes in strength, conductivity, catalytic activity, barrier performance, or failure. Examining them individually allows engineers to move beyond average bulk measurements and determine how localized structure contributes to overall performance.
Engineers compare the nanoscale structures produced under different processing conditions and then relate those observations to functional or mechanical results. Changes in grain boundaries, interfaces, pores, defects, or molecular and crystal arrangements can indicate how processing altered the material. This structure-to-function comparison supports materials design by identifying structural features associated with desired performance or reduced failure.
A workflow begins by selecting the nanoscale feature relevant to the engineering question, such as morphology, composition, defects, or crystal arrangement. Researchers then choose one or more compatible approaches from imaging, diffraction, spectroscopy, and scanning probe measurements. Results are interpreted alongside bulk properties to connect local observations with material performance, quality control, or failure mechanisms.
The approach is useful when bulk measurements alone cannot explain why a material performs differently or fails unexpectedly. Engineers can apply it while developing metals, ceramics, polymers, or nanocomposites, and when evaluating processing outcomes or device and infrastructure reliability. The resulting structural evidence helps compare materials, identify problematic features, and guide adjustments intended to improve performance.
Nano-structural analysis supports decisions about materials design, quality control, and reliability. It can help explain variations in strength, conductivity, catalytic activity, barrier performance, and failure behavior by identifying relevant nanoscale structure. In research and development, these observations provide a basis for linking processing conditions to function and for selecting structures suited to particular engineering requirements.