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Related Concept Videos

Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Bioreactor Controls-III01:22

Bioreactor Controls-III

Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...
Quality Control01:05

Quality Control

Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
Block Diagram Reduction01:22

Block Diagram Reduction

The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
Controls in Experiments01:13

Controls in Experiments

When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...

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Refinement and reduction through the control of variation.

Michael F W Festing1

  • 1MRC Toxicology Unit, University of Leicester, Leicester LE1 9HN, UK. mfwf1@le.ac.uk

Alternatives to Laboratory Animals : ATLA
|April 13, 2013
PubMed
Summary

Efficient animal experiments require controlling random and fixed variation. Using genetically similar animals and factorial designs minimizes variation, increasing experimental power and reducing animal use.

Area of Science:

  • Animal research methodology
  • Experimental design in life sciences

Background:

  • Optimizing animal experiments is crucial for efficiency and ethical considerations.
  • Controlling variation is key to maximizing scientific information from animal studies.

Purpose of the Study:

  • To outline strategies for enhancing the efficiency of animal experiments.
  • To address the misconception that genetically heterogeneous animals improve human response modeling.
  • To demonstrate methods for reducing variation in animal studies.

Main Methods:

  • Controlling random variation through experimental design.
  • Identifying and managing fixed-effect variation (e.g., animal sex, strain).
  • Utilizing isogenic strains to model human variation without increasing animal numbers.

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Last Updated: May 12, 2026

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  • Employing factorial designs to incorporate multiple factors, like sex, efficiently.

    • Main Results:

    • Genetically heterogeneous animals increase phenotypic variation, reducing experimental power.
    • Using multiple isogenic strains can effectively model human response variation.
    • Reducing both genetic and non-genetic inter-individual variation consistently improves experiments.
    • Factorial designs allow for the inclusion of multiple fixed effects without increasing animal count.

    Conclusions:

    • Minimizing inter-individual variation, through genetic control and appropriate experimental design, is paramount for efficient and powerful animal studies.
    • Isogenic strains and factorial designs offer superior alternatives to outbred stocks for modeling human variability and controlling fixed effects.