Automated Colony Counter
Automated Colony 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.
06:44
Keratinocyte Colony Formation Assay: An In Vitro Assay to Assess the Ability of Keratinocytes to Grow into Colonies
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2023
In this video, we perform a clonogenic assay of keratinocytes harvested from adult mice to determine the ability of individual cells to proliferate and form colonies. This keratinocyte harvesting technique is useful for studying other downstream aspects of cutaneous chemical carcinogenesis and tumor promotion.
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.
08:50
Colony-Forming Unit Assay Adapted For Patient-Derived Bone Marrow and Peripheral Blood Mononuclear Cells
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2026
This protocol outlines a procedure for inducing differentiation of human hematopoietic stem and progenitor cells derived from patient bone marrow and peripheral blood mononuclear cells. The assay uses a semisolid culture medium supporting erythroid and myeloid lineage commitment and incorporates standardized metrics for reproducible colony classification for preclinical drug characterization.
FAQs
The software evaluates visual differences between colonies and the surrounding agar, including contrast, size, shape, and color. Preset or user-adjusted thresholds guide which features qualify as colonies during image analysis. Selecting parameters that match the culture plate and colony appearance helps the system separate growth from background and produce a more reliable count.
Preset settings provide a consistent starting point for analyzing culture plates, while user adjustments allow the analysis to accommodate differences in colony appearance or background. This flexibility supports accurate image interpretation across experiments. Applying comparable settings to related samples also helps standardize measurements, making colony counts easier to compare and reducing variation caused by inconsistent assessment.
Automated analysis applies defined image-based criteria rather than relying solely on an individual’s visual judgment. By using consistent rules for detecting and counting colonies, the system can reduce observer variability and improve consistency among measurements. This is especially useful when experiments require repeated viable-cell quantification or comparisons across multiple culture plates.
A typical workflow begins with a microbial culture growing on an agar plate. The instrument captures an image of the plate, and its software analyzes the image using features such as contrast, size, shape, and color. Preset or adjusted parameters then guide colony recognition, after which the system calculates and records the colony count.
The process requires a culture plate containing microbial growth on agar, an imaging system capable of capturing the plate, and analysis software that can distinguish colonies from the background. The software uses visual features and selected analysis parameters to generate a count. These inputs connect the physical culture result with a standardized digital measurement.
In these fields, automated counting supports bacterial and fungal quantification, pathogen growth monitoring, antimicrobial susceptibility studies, and plaque or viability assays. The resulting counts provide a practical measure of microbial growth or viable cells. Consistent analysis can strengthen comparisons among treatments, samples, or experimental time points while limiting variation from manual observation.