Cell Counter Analysis
Cell Counter Analysis - Related Videos
09:33
Determining Cell Number During Cell Culture using the Scepter Cell Counter
0 Views •
Cited by 56 •
2010
The Scepter Cell Counter is a handheld automated device that can be used to count cells, monitor cell diameter and volume, and be used to check the health and quality of cellular populations from one culture to the next.
13:16
Determination of Mammalian Cell Counts, Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter
0 Views •
Cited by 18 •
2012
The Moxi Z miniature automated cell counter is a novel instrument that combines the Coulter Principle with patented thin-film sensor technology and a proprietary software algorithm to perform sizing and counting of a broad size range of particles as well as to determine the overall health of monodisperse mammalian cell cultures. This protocol describes the use of this instrument for counting and assessing the health of cell cultures.
07:31
Agarose-Based Model Ecosystem for Cultivating Methanotrophs in a Methane-Oxygen Counter Gradient
0 Views •
2024
A protocol is described for preparing a simple model ecosystem that recreates the methane-oxygen counter gradient found in the natural habitat of aerobic methane-oxidizing bacteria, enabling the study of their physiology in a spatially resolved context. Modifications to common biochemical assays for use with the agarose-based model ecosystem are also described.
10:34
Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
0 Views •
Cited by 2 •
2010
This procedure describes a quick and easy workflow to introduce siRNA into difficult to transfect cell lines and follow gene expression by real-time PCR. Use of an automated cell counter, multi-well electroporation plate, and automated electrophoresis station provide quick and reliable results without the need for expensive robotic handling.
09:32
Cell Cycle Analysis
0 Views •
2023
Cell cycle refers to the set of events through which a cell grows, replicates its genome, and ultimately divides into two daughter cells through the process of mitosis. Because the amount of DNA in a cell shows characteristic changes throughout the cycle, techniques known as cell cycle analysis can be used to separate a population of cells according to the different phases of cell cycle they are in, based on their varying DNA content.This video will cover the principles behind cell cycle...
FAQs
Manual counting requires a researcher to identify and record cellular objects, whereas automated systems detect cells from microscopy images or electrical and optical signals. Automated analysis can summarize measurements through software, while manual assessment provides direct visual judgment. The appropriate approach depends on the platform and the consistency needed across biological samples.
Analysis software must distinguish cellular objects from surrounding background before summarizing results. If background features are included, the reported number or concentration may not accurately represent the sample. Separating these components supports more reliable comparisons among samples and helps researchers interpret changes in cellular populations rather than changes caused by image or signal interference.
Cell number describes the amount of cellular material detected, while concentration relates that amount to the sample being assessed. Viability adds information about whether counted cells remain alive when the platform supports that measurement. Considering these readouts separately helps researchers distinguish population size from survival, an important distinction when evaluating experimental treatments.
A basic workflow begins with obtaining a biological sample, selecting a manual or instrument-based counting approach, and detecting or recording the cellular objects. When images or signals are analyzed, software separates cells from background and summarizes the measurements. Researchers can then use the resulting counts, concentration, or viability values for comparisons across samples.
In neuroscience, researchers apply these measurements when preparing neuronal or glial cultures and when evaluating how experimental conditions affect cultured cells. Counts help describe the cellular population available for an assay, while viability measurements can indicate survival after treatment. These data make comparisons between culture samples more consistent and interpretable.
Cell counts provide a quantitative basis for comparing assays performed with different samples. Normalizing measurements to the assessed cellular population can improve experimental consistency and reduce ambiguity when observed values differ. In neuroscience studies, this supports clearer interpretation of treatment-related changes in cell survival, growth, or population size across neuronal and glial preparations.