Bubble Interface Imaging
Bubble Interface Imaging - Related Videos
01:13
Excess Pressure Inside a Drop and a Bubble
0 Views •
2023
The shape of a small drop of liquid can be considered spherical, neglecting the effect of gravity. This drop can further be considered as two equal hemispherical drops put together due to surface tension. The forces acting on the spherical drop are due to the pressure of the liquid inside the drop, the pressure due to air outside the drop, and the force due to the surface tension acting on the two hemispherical drops. where γ corresponds to the surface tension. Recalling that the force per...
10:09
EasyFiji: A Graphical Interface for User-Friendly Fluorescence Image Processing in Fiji
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2026
EasyFiji is a graphical user interface plugin for Fiji (ImageJ) that provides a curated suite of fluorescence image visualization and processing tools frequently utilized by life scientists.
02:04
Protein-protein Interfaces
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2020
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
08:19
Induction of Microstreaming by Nonspherical Bubble Oscillations in an Acoustic Levitation System
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Cited by 2 •
2021
A fast and reliable technique is proposed to control the shape oscillations of a single, trapped acoustic bubble that is based on coalescence technique between two bubbles. The steady-state, symmetry-controlled bubble shape oscillations allow analysis of the fluid flow generated in the vicinity of the bubble interface.
07:06
Methods for the Self-integration of Megamolecular Biopolymers on the Drying Air-LC Interface
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Cited by 4 •
2017
A method for the drying-induced self-integration of megamolecular biopolymers on the air-liquid crystalline interface is provided here. This methodology will be useful not only for understanding the macroscopic potentials of biopolymers, but also as an evaluation method for soft materials in biomedical and environmental fields.
FAQs
Optical imaging records the visible shape and motion of bubbles, while image-processing techniques locate the gas-liquid interface in those images. Once the boundary is identified, researchers can quantify bubble size, curvature, velocity, deformation, and coalescence. Separating image capture from measurement allows the same visual data to support both qualitative flow observation and quantitative engineering analysis.
Bubble size describes the scale of the dispersed gas phase, whereas curvature and deformation indicate how the interface changes shape. Velocity tracks transport through the liquid, and coalescence records interactions that produce larger bubbles. Together, these measurements help distinguish key behaviors such as formation, movement, breakup, and interaction with nearby bubbles or solid surfaces.
Changes in boundary shape provide evidence of how bubbles respond during contact with surfaces or with other bubbles. Image-based measurements can document deformation, coalescence, and breakup as observable interface events rather than treating bubbles as idealized shapes. This information helps engineering researchers connect local bubble interactions with broader multiphase-flow behavior in experimental systems.
A typical study first uses optical imaging to record bubbles within the gas-liquid flow. Researchers then apply image-processing techniques to identify each interface and extract measurements such as size, curvature, velocity, and deformation. The resulting measurements are organized around events including formation, transport, breakup, coalescence, or surface interaction, depending on the engineering question.
Measured bubble properties provide experimental quantities that can be compared with predictions from computational models of multiphase flow. Agreement or disagreement in size, curvature, velocity, deformation, or coalescence behavior helps researchers evaluate how well a model represents the observed system. The imaging data therefore connect visual experiments with quantitative assessment of engineering simulations.
The measurements are relevant wherever controlled gas-liquid flow affects system performance. Applications identified for this approach include reactors, heat exchangers, flotation equipment, and other technologies that depend on bubble formation, transport, breakup, or interaction. Understanding interface behavior can support design analysis by showing how bubbles move and change within the operating flow.