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Related Concept Videos

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.
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Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.However, realistic environmental conditions limit the number of...
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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Pattern, growth, and control.

Arthur D Lander1

  • 1Department of Developmental and Cell Biology, Center for Complex Biological Systems, University of California, Irvine, Irvine, CA 92697-2300, USA. adlander@uci.edu

Cell
|March 19, 2011
PubMed
Summary
This summary is machine-generated.

Systems biology applies engineering principles to understand life's control mechanisms in development. It reveals design principles like feedback and self-organization for robust growth and pattern formation.

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Area of Science:

  • Developmental Biology
  • Systems Biology
  • Biophysics

Background:

  • Systems biology offers an engineering-centered approach to understanding biological control and regulation.
  • Developmental biology historically shares this goal-directed perspective.
  • There is a growing synergy between systems biology and developmental biology.

Purpose of the Study:

  • To elucidate the design principles underlying engineering objectives in development.
  • To highlight how systems biology informs the study of growth and pattern formation.
  • To explore concepts of robustness, precision, and scaling in biological development.

Main Methods:

  • Review of current research integrating systems biology and developmental biology.
  • Analysis of examples from vertebrate and invertebrate development.
  • Focus on engineering objectives such as robustness, precision, and scaling.

Main Results:

  • Integral feedback is crucial for set-point control in development.
  • Self-organizing behaviors are important for biological pattern formation.
  • Effective management of noise is essential for developmental processes.
  • Developmental processes often lack "free lunches," implying trade-offs.

Conclusions:

  • Systems biology provides a framework for understanding the mechanistic complexity of organismal development.
  • Engineering principles illuminate the functional logic of developmental control.
  • This interdisciplinary approach enhances the study of growth and pattern formation.