Particle Counting
Particle Counting - Related Videos
10:19
Using a Hemacytometer to Count Cells
0 Views •
2023
Many biomedical experiments require manipulation of a known quantity of cells, in order to achieve accurate, reproducible, and statistically-relevant data. Therefore, learning how to count cells is a particularly essential technique for any successful biomedical scientist. The most common way to count cells is by using a hemacytometer - an instrument that bears two laser-etched grids, which aid in the enumeration of an aliquot cells under a simple light microscope. This data can then be used to...
05:47
Counting and Determining the Viability of Cultured Cells
0 Views •
Cited by 19 •
2008
Determining the number of cells in culture is important in standardization of culture conditions and in performing accurate quantitation experiments. In this video, we demonstrate how cells are counted using a hemacytometer.
11:01
Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
0 Views •
Cited by 90 •
2016
This paper describes the quantification of hemocytometer and migration/invasion micrographs through two new open-source ImageJ plugins Cell Concentration Calculator and migration assay Counter. Furthermore, it describes image acquisition and calibration protocols as well as discusses in detail the input requirements of the plugins.
06:37
Counting Human Neural Stem Cells
0 Views •
Cited by 14 •
2007
Knowledge of the exact number of viable cells is required for many tissue culture manipulations. This protocol describes how to differentiate between live and dead cells and quantify cells using a hemacytometer. Although it describes counting human neural stem/precursor cells (hNSPCs), it can be used for other cell types.
12:25
Counting Proteins in Single Cells with Addressable Droplet Microarrays
0 Views •
Cited by 2 •
2018
Here we present addressable droplet microarrays (ADMs), a droplet array based method able to determine absolute protein abundance in single cells. We demonstrate the capability of ADMs to characterize the heterogeneity in expression of the tumor suppressor protein p53 in a human cancer cell line.
FAQs
Each approach relies on a different measurable response. Optical instruments register light scattering from individual particles, image analysis evaluates particles captured in images, and electrical-resistance systems detect changes as particles pass through a sensing zone. The appropriate method therefore depends on the particle properties and sample type, rather than on one universally preferred detection principle.
The distribution can show whether particles are broadly dispersed across sizes or concentrated within particular size ranges. Changes in that pattern may indicate aggregation, dispersion, or loss of stability. In chemistry and materials research, these observations help connect particle behavior with sample performance and with changes occurring during formulation or processing.
Particle properties and sample type determine how readily an instrument can detect individual particles through scattering, image contrast, or electrical-resistance changes. Suspensions, aerosols, powders, and colloids may therefore require different measurement approaches. Matching the detection principle to the sample helps produce meaningful number and size information instead of relying on a poorly suited signal.
Counting particles individually preserves information about both their abundance and their sizes. That combination helps distinguish a sample with many dispersed particles from one containing larger aggregated structures, even when the overall material appears similar. The resulting measurements provide a quantitative way to evaluate stability and to track how chemical processing affects particle organization.
A practical workflow begins by selecting optical scattering, image analysis, or electrical-resistance detection according to the sample and particle properties. The instrument then detects particles individually or analyzes their images, producing information on particle number and size distribution. Interpreting those results in relation to aggregation, dispersion, or stability connects the measurement with the sample’s behavior.
The measurement supports quality control, formulation development, environmental analysis, and contamination assessment. It can be applied to suspensions, aerosols, powders, and colloids, making it useful across diverse chemical samples. Researchers also use the resulting particle data when size and concentration affect reactivity, transport, stability, or the performance of a material or process.