Cfu Quantification Method
Cfu Quantification Method - Related Videos
03:31
Methyl Cellulose-Based CFU Assay: A Method to Determine the Effect of Anti-cancer Compounds on Colony Formation in Leukemic Cells
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2023
This video describes the protocol for methyl cellulose-based colony formation unit or CFU assay, which helps identify and count the number of colonies formed by leukemic cells in response to the treatment with anticancer compounds.
11:38
An Innovative Method for Exosome Quantification and Size Measurement
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Cited by 102 •
2015
A method for isolation of exosomes from whole blood and further analysis by nanoparticle tracking using a semi-automatic instrument is presented in this article. The presented technology provides an extremely sensitive method for visualizing and analyzing particles in liquid suspension.
08:03
Simultaneous Assessment of Cardiomyocyte DNA Synthesis and Ploidy: A Method to Assist Quantification of Cardiomyocyte Regeneration and Turnover
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Cited by 25 •
2016
Quantification of cardiomyocyte turnover is challenging. The protocol described here makes an important contribution to this challenge by enabling accurate and sensitive quantification of neo-cardiomyocyte nuclei generation and nuclei ploidy.
07:58
Use of Image Cytometry for Quantification of Pathogenic Fungi in Association with Host Cells
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Cited by 1 •
2013
Here, we demonstrate how image cytometry can be used for quantification of pathogenic fungi in association with host cells in culture. This technique can be used as an alternative to CFU enumeration.
11:19
ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth
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Cited by 4 •
2017
We present a method for quantifying growth phenotypes of individual yeast cells as they grow into colonies on solid media using time-lapse microscopy termed, One-cell Doubling Evaluation of Living Arrays of Yeast (ODELAY). Population heterogeneity of genetically identical cells growing into colonies can be directly observed and quantified.
FAQs
CFU counts can be lower than the number of individual microorganisms because a single colony may originate from one viable cell or from a cell cluster. The measurement therefore represents reproductive units under the selected growth conditions, rather than a guaranteed one-to-one census of every cell in the specimen. This distinction matters when comparing microbial burden.
Serial dilution allows the same specimen to be represented at progressively lower concentrations before plating. This spreads the measurement across dilution levels, so colony formation can be assessed without relying on a single undiluted plate. The dilution factor and defined plated volume are essential context when using the observed colonies to estimate the burden in the original sample.
Growth agar and incubation conditions determine whether organisms in the plated sample can develop visible colonies. If conditions are suitable for the microorganism, the resulting count reflects viable, culturable burden under that setup. Consequently, CFU results should be interpreted together with the agar and incubation conditions used, especially when comparing samples or experiments.
To interpret a CFU result, researchers need more than the colony number alone. The specimen source, serial-dilution level, plated volume, plating format, agar, incubation conditions, and resulting colony count connect the plate observation to the original sample. Recording these elements preserves the experimental context for assessing microbial burden in cultures, tissues, or models.
In immunology and infection research, the method can quantify pathogen loads in cultures, tissues, and experimental models. Those measurements support studies of host defense and disease progression by providing a count-based readout of microbial burden. The same approach also allows investigators to evaluate antimicrobial efficacy and treatment outcomes within the tested system.
Changes in CFU counts are useful for evaluating whether an intervention affects microbial burden. In infection studies, researchers can use the resulting measurements to examine antimicrobial efficacy or treatment outcomes, while in host-response experiments the counts help relate pathogen load to defense and disease progression. Interpretation remains tied to organisms that are viable and culturable under the assay conditions.