Cfu Surrogate Method

The CFU surrogate method is an indirect approach for estimating the number of viable, colony-forming microorganisms when conventional plate-based colony counts are slow, labor-intensive, or impractical. It works by measuring a proxy linked to microbial viability, such as turbidity, fluorescence, metabolic activity, or a molecular signal, and calibrating that readout against known CFU values under defined culture conditions. In immunology and infection research, the method can accelerate bacterial burden measurements in host samples, antimicrobial testing, and experimental infection models. Reliable interpretation requires assay-specific validation because growth state, sample matrix, and nonculturable cells can affect the surrogate readout.

Cfu Surrogate Method - Related Videos

Research

JoVE Journal - Bioengineering

Preparation and Analysis of In Vitro Three Dimensional Breast Carcinoma Surrogates

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Cited by 6 •

2016

We demonstrate a method to generate 3D breast cancer surrogates, which can be cultured using a perfusion bioreactor system to deliver oxygen and nutrients. Following growth, surrogates are fixed and processed to paraffin for evaluation of parameters of interest. The evaluation of one such parameter, cell density, is explained.

Microglia as a Surrogate Biosensor to Determine Nanoparticle Neurotoxicity

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Cited by 16 •

2016

Microglia (immune cells of the brain), are used as a surrogate biosensor to determine how nanoparticles influence neurotoxicity. We describe a series of experiments designed to assay microglial response to nanoparticles and exposure of hypothalamic neurons to supernatant from activated microglia to determine neurotoxicity.

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.

Research

JoVE Journal - Engineering
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Surrogate Model Development for Digital Experiments in Welding

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Cited by 2 •

2025

This protocol outlines a general workflow for constructing an artificial neural network for welding simulation using datasets generated automatically through Python scripts with macro functions. The workflow is validated against a benchmark case involving single-pass, straight-line welding. The surrogate model's predictive accuracy shows a strong agreement with finite element simulations.

Measuring Relative Insulin Secretion using a Co-Secreted Luciferase Surrogate

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Cited by 7 •

2019

This protocol describes how to perform rapid low-cost luciferase assays at medium-throughput using an insulin-linked Gaussia luciferase as a proxy for insulin secretion from beta cells. The assay can be performed with most luminescence plate readers and multichannel pipettes.

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