Multi-scale Processing
Multi-scale Processing - Related Videos
01:14
Scale-Up Processes
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2026
The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...
22:10
Multi-target Parallel Processing Approach for Gene-to-structure Determination of the Influenza Polymerase PB2 Subunit
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Cited by 3 •
2013
Structure-based drug design plays an important role in drug development. Pursuing multiple targets in parallel greatly increases the chance of success for lead discovery. The following article highlights how the Seattle Structural Genomics Center for Infectious Disease utilizes a multi-target approach for gene-to-structure determination of the PB2 influenza A subunit.
08:46
Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
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Cited by 5 •
2016
For this study synchrotron radiation micro-tomography, a non-destructive three-dimensional imaging technique, is employed to investigate an entire microelectronic package with a cross-sectional area of 16 x 16 mm. Due to the synchrotron's high flux and brightness the sample was imaged in just 3 min with an 8.7 µm spatial resolution.
10:06
Characterization Of Multi-layered Fish Scales (Atractosteus spatula) Using Nanoindentation, X-ray CT, FTIR, and SEM
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Cited by 15 •
2014
This paper presents the methods used for probing spatially correlated chemical, structural, and mechanical properties of the multilayered scale of Atractosteus spatula (A. spatula) using nanoindentation, Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), and X-ray computed tomography (X-ray CT). The experimental results have been used to investigate the design principles of protective biological materials.
04:49
Automated Counterflow Centrifugal System for Small-Scale Cell Processing
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Cited by 7 •
2019
Automation is key to upscaling and cost management in cell manufacturing. This manuscript describes the use of a counterflow centrifugal cell processing device for automating the buffer exchange and cell concentration steps for small-scale bioprocessing.
FAQs
Information moves between levels through measurements, simulations, or process models that represent the system at different resolutions. Fine-scale results can supply mechanisms or parameters for larger-scale predictions, while larger-scale behavior can identify which local details matter most. This exchange connects local phenomena with overall performance instead of treating each scale as an isolated engineering problem.
Each scale can reveal a different part of system behavior. Spatial resolution may expose microstructure or material transport, temporal resolution may represent changing processing conditions, and organizational scale may connect those effects to component performance. Considering these levels together helps engineers identify relationships that could remain hidden when analysis is restricted to only one scale.
Microstructure, material transport, processing conditions, and component-level behavior are central features that may interact across scales. A useful analysis therefore considers how local structure affects transport, how processing conditions alter that structure, and how the resulting changes influence component performance. Examining these links can improve the relevance of predictions and design decisions.
A practical workflow begins by identifying the relevant spatial, temporal, or organizational levels, then selecting measurements, simulations, or process models for those levels. Engineers transfer the information needed to connect local mechanisms with larger-scale behavior and compare the resulting predictions with overall performance. The outcome can guide process optimization, model refinement, or design decisions.
Engineers would use the approach when important performance relationships span more than one level, such as interactions among microstructure, material transport, processing conditions, and component behavior. A single-scale study may miss those connections. Linking scales is especially relevant when the goal is to improve model accuracy, optimize a manufacturing process, use resources efficiently, or strengthen product reliability.
In manufactured systems, the approach can connect process conditions and material behavior to component-level performance. That connection supports process optimization and more accurate models while helping engineers evaluate resource efficiency and product reliability. It also provides a way to locate relationships that are not apparent when measurements, simulations, or models are interpreted separately at only one resolution.