Droplet Size Analysis
Droplet Size Analysis - Related Videos
08:37
Evaluation of Lipid Droplet Size and Fusion in Bovine Hepatic Cells
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2023
The present protocol describes how to use oil red O to dye lipid droplets (LDs), calculate the size and number of LDs in a fatty acid-induced fatty hepatocyte model, and use BODIPY 493/503 to observe the process of small LDs fusing into large LDs by live cell imaging.
08:14
Measuring Spray Droplet Size from Agricultural Nozzles Using Laser Diffraction
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Cited by 30 •
2016
We present protocols to be used in the measurement of spray droplet size from agricultural nozzles used in both aerial and ground based agrochemical applications. These methods presented were developed to provide consistent and repeatable droplet size data both inter- and intra-laboratory, when using laser diffraction systems.
07:43
Plasmid Stability Analysis with Open-Source Droplet Microfluidics
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2024
An accessible, open-source microfluidic workflow is presented for the parallelized analysis of plasmid retention in bacteria. By employing fluorescence microscopy to quantify plasmid presence in single-cell microcolonies within gel microdroplets, this method provides a precise, accessible, and scalable alternative to traditional plate counting.
10:23
Lipid Droplet Isolation for Quantitative Mass Spectrometry Analysis
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Cited by 7 •
2017
Lipid droplets are important organelles for the replication of several pathogens, including the Hepatitis C Virus (HCV). We describe a method to isolate lipid droplets for quantitative mass spectrometry of associated proteins; it can be used under a variety of conditions, such as virus infection, environmental stress, or drug treatment.
07:12
Analysis of Fluorescent-Stained Lipid Droplets with 3D Reconstruction for Hepatic Steatosis Assessment
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Cited by 6 •
2023
Herein, we demonstrate an optimized BODIPY 493/503 fluorescence-based protocol for lipid droplet characterization in liver tissue. Through the use of orthogonal projections and 3D reconstructions, the fluorophore allows for successful discrimination between microvesicular and macrovesicular steatosis and may represent a complementary approach to the classical histological protocols for hepatic steatosis assessment.
FAQs
A mean droplet diameter alone can conceal substantial variation within a sample. Droplet size analysis therefore pairs the mean with polydispersity and distribution width, which indicate how consistently droplets were formed. In a bioengineering device, this distinction helps determine whether an apparently suitable average reflects genuinely uniform droplets or a mixed population.
These factors affect how droplets form within a generator or microfluidic device, which can change both their characteristic diameter and the consistency of the resulting population. Comparing size measurements under different flow conditions, fluid properties, or geometries allows researchers to identify which design or operating changes improve uniformity and support reproducible microscale environments.
Microscopy combined with image analysis provides a way to quantify droplets from observed images, while light-scattering methods provide another measurement route for dispersed liquid systems. Both approaches can support calculations of mean size, polydispersity, and distribution width. Using these measurements connects the selected analytical method to questions about uniformity, stability, and device performance.
A typical workflow begins by measuring droplets with microscopy and image analysis or with a light-scattering method. The resulting measurements are then used to calculate mean size, polydispersity, and distribution width. Researchers can compare these parameters across droplet generators, emulsions, or microfluidic conditions to evaluate formation consistency and performance.
Repeated measurements of mean droplet size, polydispersity, and distribution width show whether an encapsulation system produces similar droplet populations under comparable conditions. Consistent values support reproducible platform behavior, whereas shifts in size or broader distributions indicate changes in formation performance. This information is important when controlled microscale environments are required.
Controlled droplet dimensions are relevant to cell encapsulation, drug delivery, tissue engineering, emulsions, and microfluidic platforms. In these settings, size measurements help evaluate whether the system creates the intended microscale environment and whether device geometry, fluid properties, or flow conditions support the required performance. The analysis therefore links physical droplet characteristics with application-focused platform design.