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Viability Assays for Cells in Culture
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Methods for Measuring Viability and Evaluating Viability Indicators.

Matthew D Egbert1, Juan Pérez-Mercader2

  • 1Department of Earth and Planetary Sciences, Harvard University; and Department of Computer Science, University of Auckland. mde@matthewegbert.com.

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|April 18, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces novel methods to quantify the viability of complex systems, offering new tools for their design and control. It also presents an information-theory approach to assess viability indicators for better system prediction.

Keywords:
Viabilityanalysiscomplex systemscomputational toolsdissipative structures

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Area of Science:

  • Complex Systems Science
  • Nonlinear Dynamics
  • Information Theory

Background:

  • Life and dissipative structures exhibit complex nonlinear dynamics, posing challenges for conventional analysis and control.
  • Current limitations exist in general principles for designing, controlling, and stabilizing these systems.
  • A need exists for tools to translate high-level system descriptions into practical design guidance.

Purpose of the Study:

  • To introduce new methods for quantifying the viability of dissipative structures.
  • To present an information-theoretical approach for evaluating the quality of viability indicators.
  • To provide tools for predicting and influencing system viability.

Main Methods:

  • Development of novel quantitative methods for assessing system viability.
  • Application of information theory to evaluate the predictive power of viability indicators.
  • Analysis of measurable quantities that correlate with system viability.

Main Results:

  • New methods for quantifying the viability of dissipative structures have been established.
  • An information-theoretical framework for assessing viability indicators is presented.
  • The study demonstrates how to evaluate and utilize indicators for system prediction and control.

Conclusions:

  • The developed methods offer a pathway to better understand and manage complex dissipative systems.
  • The information-theoretical approach enhances the reliability of viability indicators for practical applications.
  • This work provides foundational tools for the design and modification of nonlinear dynamic systems.