Long Term Experiment
Long Term Experiment - Related Videos
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Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
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Cited by 10 •
2023
This protocol describes how to maintain the Escherichia coli Long-Term Evolution Experiment (LTEE) by performing its daily transfers and periodic freeze-downs and how to conduct competition assays to measure fitness improvements in evolved bacteria. These procedures can serve as a template for researchers starting their own microbial evolution experiments.
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In Vitro Calcium Imaging in Short-Term and Long-Term Rat Hippocampal Cultures
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2025
Source: Calvo-Rodríguez, et al. Fluorescence and Bioluminescence Imaging of Subcellular Ca2+ in Aged Hippocampal Neurons. J. Vis. Exp. (2015). This video demonstrates the use of fluorescence imaging to measure cytosolic calcium levels in short-term and long-term rat hippocampal cultures. By comparing young and aged neurons, it highlights how increased L-type voltage-gated calcium channel density and prolonged activation in aged neurons result in calcium overloading, a hallmark of neuronal aging.
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C. elegans Positive Butanone Learning, Short-term, and Long-term Associative Memory Assays
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Cited by 92 •
2011
Here we describe methods to test C. elegans associative learning and short- and long-term associative memory. These population assays employ the worms abilities to chemotax toward volatile odorants, and form positive associations upon pairing food with the chemoattractant butanone. Increasing the number of conditioning periods induces long-term memory.
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The Factorial Experiment
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2023
Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University A factorial design is a common type of experiment where there are two or more independent variables. This video demonstrates a 2 x 2 factorial design used to explore how self-awareness and self-esteem may influence the ability to decipher nonverbal signals. This video leads students through the basics of a factorial design including, the nature of a factorial design and what distinguishes it from...
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What is an Experiment?
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2023
An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...
FAQs
Repeated measurements reveal whether an observed effect persists, changes gradually, or reflects short-term variation. Researchers schedule observations at planned time points and compare results across those points under consistent conditions. This design is especially useful when neural activity, behavior, or responses to an intervention may evolve slowly rather than appearing as a single immediate outcome.
Consistency and controls help separate changes associated with the intervention or biological process from changes caused by shifting experimental conditions. Maintaining the same protocols across measurement periods makes comparisons more meaningful. In neuroscience, this supports clearer interpretation of long-term patterns in neural activity, behavior, or treatment response.
The approach can expose neural plasticity, learning, disease progression, and sustained effects of drugs or other treatments. These processes may involve changes that unfold gradually, so measurements collected over time can show trajectories rather than isolated snapshots. The result is a stronger basis for relating brain changes to behavioral outcomes and neurological health.
An extended neuroscience study can repeatedly record neural activity, behavior, or responses to an intervention at planned time points. Researchers keep experimental conditions, protocols, and controls consistent while collecting these measurements. Comparing the resulting observations across time helps identify gradual changes and distinguish a sustained pattern from an isolated response.
Long Term Experiment designs are useful for evaluating whether a drug or other treatment has effects that endure beyond short-term observation. Repeated measurements can follow responses as they change over time, while consistent protocols and controls improve comparisons between time points. In neuroscience, this supports assessment of sustained treatment effects alongside neural or behavioral responses.
By following changes over an extended period, researchers can examine disease progression and connect it with evolving neural activity or behavior. Those observations may contribute to more reliable models of neurological health and disease, because the models can reflect gradual processes rather than only short-lived variation. This makes the approach relevant to both normal brain function and pathology.