Automated Counter
Automated Counter - Related Videos
13:16
Determination of Mammalian Cell Counts, Cell Size and Cell Health Using the Moxi Z Mini Automated Cell Counter
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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.
09:33
Determining Cell Number During Cell Culture using the Scepter Cell Counter
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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.
08:06
Automated Acoustic Dispensing for the Serial Dilution of Peptide Agonists in Potency Determination Assays
0 Views •
Cited by 1 •
2016
Peptide adsorption to plasticware during traditional tip-based serial dilutions can significantly impact potency determination and confound the understanding of structure-activity relationships used for lead identification and lead optimization phases of drug discovery. Here methods for automated acoustic non-contact serial dilution of peptide samples are described.
10:34
Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
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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.
07:31
Agarose-Based Model Ecosystem for Cultivating Methanotrophs in a Methane-Oxygen Counter Gradient
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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.
FAQs
Automated counters identify detected events within a sensing region and classify them using measurable characteristics such as size, shape, or signal intensity. These criteria help separate intended cells or particles from background and from aggregates, which are groups of objects detected together. The resulting classification improves the reliability of recorded counts when sample composition is not uniform.
Thresholds determine which detected events the instrument accepts as relevant objects. Size and shape criteria can help exclude background or recognize aggregates, while signal thresholds provide another basis for classification when the platform detects a measurable biological or optical signal. Adjusting these criteria influences the reported count and therefore affects concentration, viability, and sample-quality assessments.
These approaches obtain counting information through different sensing mechanisms. Image analysis evaluates recorded images, optical detection measures events through their interaction with a detection system, and electrical impedance identifies objects through changes associated with passage through a sensing region. The available measurement type depends on the instrument, so researchers select a platform that matches the biological sample and intended assessment.
A sample is introduced to the instrument, objects pass through or are presented to a sensing region, and the platform records detectable events. Software or internal analysis then applies size, shape, or signal thresholds to classify those events and separate them from background or aggregates. The instrument reports the resulting measurement, which can guide preparation for downstream biological assays.
Researchers can use automated counters to measure cell concentration and viability while monitoring a culture. These measurements help standardize culture inputs, making samples more comparable between experiments or before downstream assays. Repeated counting also supports consistent monitoring of culture conditions without relying entirely on manual intervention, which can improve speed, consistency, and reproducibility across measurements.
In microbial analysis, automated counters provide recorded measurements of biological objects that can help characterize a sample. More broadly, concentration and viability results offer evidence about sample condition before researchers proceed with downstream work. Consistent measurements can reveal whether an input is suitable for an experiment and help identify variation that could otherwise affect interpretation or reproducibility.