Particle Size Tracking
Particle Size Tracking - Related Videos
12:58
In Situ Mapping of the Mechanical Properties of Biofilms by Particle-tracking Microrheology
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Cited by 11 •
2015
Particle-tracking microrheology investigates the viscoelasticity of materials. Here, the technique is used to determine the viscoelasticity, creep compliance and effective crosslinking roles of different matrix components of a bacterial biofilm. The matrix consists of polymeric substances secreted by the bacteria and its components determine biofilm structure and mechanical properties.
13:02
Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
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Cited by 22 •
2016
A three-dimensional particle tracking velocimetry (3D-PTV) system based on a high-speed camera with a four-view splitter is described here. The technique is applied to a jet flow from a circular pipe in the vicinity of ten diameters downstream at Reynolds number Re ≈ 7,000.
02:14
Tracking Aggregation of Virus-Like Particles Using Dynamic Light Scattering
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2026
Source: Moore, M. D., et al. Alternative In Vitro Methods for the Determination of Viral Capsid Structural Integrity. J. Vis. Exp. (2017)The video demonstrates a protocol for monitoring the heat-induced aggregation of virus-like particles using dynamic light scattering (DLS). It begins with preparing a monodisperse suspension of purified particles. The sample is then loaded into a preheated DLS instrument. As the capsid proteins denature with heat, exposed hydrophobic regions cause particle...
10:32
Image-based Lagrangian Particle Tracking in Bed-load Experiments
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Cited by 14 •
2017
The manuscript presents a protocol for the conduction of bed-load sediment transport experiments where the moving particles are tracked by image analysis. The experimental facility, the procedures for run realization and data processing, and finally some proof-of-concept results are presented here.
11:54
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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Cited by 8 •
2017
We demonstrate a microfluidic platform with an integrated surface electrode network that combines resistive pulse sensing (RPS) with code division multiple access (CDMA), to multiplex detection and sizing of particles in multiple microfluidic channels.
FAQs
Particle Size Tracking depends on two computational decisions: segmentation and object linking. Segmentation separates each particle from the image background, while linking associates corresponding objects across successive frames. Those linked observations allow researchers to follow changes in dimensions alongside shape and motion, rather than treating each image as an isolated measurement. The quality of these decisions affects conclusions about growth, shrinkage, or movement.
Controlled imaging conditions make measurements comparable from one frame to the next. If acquisition conditions vary, apparent changes in dimensions may reflect imaging differences rather than biological behavior. Consistent images provide the basis for reliable segmentation and correspondence across frames, helping distinguish genuine growth, shrinkage, transport, or interaction from changes introduced during data collection.
Following individual particles preserves heterogeneity within a sample. One object may enlarge, shrink, move, or interact differently from another, even when a population-level summary appears stable. Tracking these object-specific trajectories helps identify distinct behaviors and relate changes in dimensions to biological structure, transport, or interactions rather than relying only on a single aggregate measurement.
Size alone does not describe the full behavior of a biological particle. Shape adds structural information, while motion helps indicate how the object is transported or interacts within the observed system. Considering these measurements together can make changes more interpretable and helps connect a dimensional shift with biological processes instead of viewing it as an isolated numerical change.
A typical workflow starts by acquiring microscopy images under controlled conditions. The images are then processed to segment particles from the background, and computational algorithms link corresponding objects across frames. Researchers can subsequently estimate dimensions, shape, motion, and temporal changes such as growth or shrinkage, producing measurements that connect image observations with biological behavior.
The approach can be applied to extracellular vesicles, protein aggregates, microorganisms, and drug-delivery nanoparticles. These materials may change in size, move through biological environments, interact with other components, or undergo aggregation and degradation. Measuring their trajectories and dimensions provides a quantitative way to compare particle behavior across biological studies and therapeutic formulation experiments.
Particle size tracking supports quality control, disease research, and evaluation of therapeutic formulations. Measurements can reveal aggregation, uptake, or degradation, while changes in size and motion help connect particle behavior with biological function. This makes the approach useful for examining disease-associated structures and assessing whether drug-delivery nanoparticles maintain characteristics relevant to their intended biological use.