Growth Curve Measurement
Growth Curve Measurement - Related Videos
12:15
Growth Curves: Generating Growth Curves Using Colony Forming Units and Optical Density Measurements
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2023
Source: Andrew J. Van Alst1, Rhiannon M. LeVeque1, Natalia Martin1, and Victor J. DiRita1 1 Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, United States of America Growth curves provide valuable information on bacterial growth kinetics and cell physiology. They allow us to determine how bacteria respond in variable growth conditions as well as to define optimal growth parameters for a given bacterium. An archetypal growth curve progresses...
12:23
Bacterial Growth Curve Analysis and its Environmental Applications
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2023
Source: Laboratories of Dr. Ian Pepper and Dr. Charles Gerba - The University of Arizona Demonstrating Author: Luisa Ikner Bacteria are among the most abundant life forms on Earth. They are found in every ecosystem and are vital for everyday life. For example, bacteria affect what people eat, drink, and breathe, and there are actually more bacterial cells within a person’s body than mammalian cells. Because of the importance of bacteria, it is preferable to study particular species of bacteria...
01:28
Bacterial Growth Curve
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2025
The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...
03:30
Assessing Rotavirus Growth Curve by Plaque Assay
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2026
Source: Kadoya, S., Sano, D. Assays for the Specific Growth Rate and Cell-binding Ability of Rotavirus. J. Vis. Exp. (2019).This video demonstrates the use of a plaque assay to assess the rotavirus growth curve. The method involves infecting host cells with diluted virus, overlaying with agarose to restrict spread, and staining to visualize plaques formed by viral replication. By counting plaque-forming units at defined time points, the resulting growth curve reveals the lag, exponential, and...
09:49
Measurement of the Pressure-volume Curve in Mouse Lungs
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Cited by 47 •
2015
Here we present a protocol to simply and reliably measure the lung pressure-volume curve in mice, showing that it is sufficiently sensitive to detect phenotypic parenchymal changes in two common lung pathologies, pulmonary fibrosis and emphysema. This metric provides a means to quantify the lung’s structural changes with developing pathology.
FAQs
The sequence of lag, exponential, stationary, and death phases helps distinguish changing growth behavior within one experiment. Plotting measurements over time shows when a population moves between these phases, rather than reducing the culture to a single endpoint. This phase-resolved view is useful for comparing how defined conditions alter the timing and extent of proliferation.
Growth rate and doubling time can be estimated from measurements collected at defined time points and plotted against time. These values provide quantitative summaries of how quickly a population increases under particular culture conditions. Comparing them across experiments helps researchers evaluate differences in proliferation without relying only on visual observations of culture density or biomass.
Nutrients, temperature, antibiotics, and other environmental factors can change the measured pattern of population proliferation. Researchers can compare curves generated under different conditions to determine whether growth dynamics, phase progression, growth rate, or doubling time differs. This approach connects a biological response with the specific conditions imposed during culture, supporting controlled studies of population behavior.
A typical workflow establishes cultures under defined conditions, collects measurements at regular intervals, and records each value with its corresponding time point. Measurements may include optical density, cell counts, or biomass. Researchers then plot the results against time, identify the major phases, and calculate growth rate or doubling time when the data support those estimates.
Optical density, cell counts, and biomass are among the measurements used to follow population changes over time. Selecting one of these readouts allows researchers to generate a quantitative time series for a culture. Using the same measurement approach across experimental conditions makes curve comparisons useful for examining effects on proliferation and growth dynamics.
Growth curve measurement supports several biological applications, including microbial physiology, cell culture optimization, and drug testing. It can also help characterize how populations respond to changing conditions. By providing growth-phase information and quantitative estimates such as growth rate or doubling time, the method helps researchers compare cultures and assess responses within controlled experiments.