Automated Cell Counter
Automated Cell Counter - Related Videos
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.
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.
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.
10:24
Automated Cell Enrichment of Cytomegalovirus-specific T cells for Clinical Applications using the Cytokine-capture System
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Cited by 23 •
2015
The goal of this protocol is to manufacture pathogen-specific clinical-grade T cells using a bench-top, automated, second generation cell enrichment device that incorporates a closed cytokine capture system and does not require dedicated staff or use of a GMP facility. The cytomegalovirus pp65-specific-T cells generated can be directly administered to patients.
08:06
Automated Acoustic Dispensing for the Serial Dilution of Peptide Agonists in Potency Determination Assays
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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.
FAQs
Optical systems identify cells from image-based features, whereas impedance-based systems register changes in electrical resistance as cells pass through a sensing region. These approaches convert physical or electronic signals into count data, allowing rapid analysis of a sample. The selected detection principle can influence which instrument settings and sample characteristics are appropriate for reliable measurements.
After detection, the instrument software analyzes the collected signals or images to separate individual cells from the surrounding sample. It then uses the detected cell events and the relevant sample measurement to calculate values such as cell number or concentration. Consistent analysis settings are important because inappropriate thresholds or recognition parameters can affect which objects are counted.
Accurate results depend on suitable sample preparation and correctly configured instrument settings. The sample must be presented in a form that permits the system to distinguish cells and, when supported, assess viable and nonviable populations. Poor preparation or unsuitable settings can alter counts, concentration estimates, or viability results, reducing the usefulness of measurements for downstream biological work.
A typical workflow begins with preparing a representative cell sample, placing it into the instrument’s measurement pathway, and applying settings suited to the sample and detection method. The system then analyzes the sample and reports the requested measurements, such as cell number, concentration, or viability. Reviewing the output for consistency helps determine whether the result is suitable for subsequent culture or assays.
Researchers commonly use automated counting to maintain cell cultures, monitor growth, adjust seeding density, and prepare samples for assays. Obtaining a concentration estimate helps align the number of cells introduced into different experimental conditions. This supports more consistent culture handling and can improve comparability among samples when the preparation and measurement settings remain appropriate.
Compared with manual hemocytometer counting, automated systems can reduce the labor involved in obtaining measurements and support higher-throughput analysis. They may also improve consistency and reproducibility by applying software-based detection and calculation. However, automation does not eliminate experimental variability: sample preparation and instrument settings still require attention, so results should be interpreted in that context.