Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Random and Systematic Errors

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...

Random and Systematic Errors

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...

Systematic Error: Methodological and Sampling Errors

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...

Contaminants and Errors

Contaminants and Errors

Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...

Errors occurring during blood pressure monitoring

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...

Propagation of Uncertainty from Systematic Error

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Designed miniproteins potently inhibit and protect against MERS-CoV.

Cell reports·2025

Same author

An oral norovirus vaccine generates mucosal immunity and reduces viral shedding in a phase 2 placebo-controlled challenge study.

Science translational medicine·2025

Same author

Prolonged airway explant culture enables study of health, disease, and viral pathogenesis.

Science advances·2025

Same author

Stabilized dengue virus 2 envelope subunit vaccine redirects the neutralizing antibody response to all E-domains.

Journal of virology·2025

Same author

A global collaboration for systematic analysis of broad-ranging antibodies against the SARS-CoV-2 spike protein.

Cell reports·2025

Same author

A small-molecule SARS-CoV-2 inhibitor targeting the membrane protein.

Nature·2025

Same journal

Diversity, Equality, and Inclusion in the naïve T Cell Receptor Repertoire.

Immunological reviews·2026

Same journal

Macrophage Plasticity and Immune Remodeling in Ischemic Heart Failure.

Immunological reviews·2026

Same journal

The T Cell Receptor: Molecular Sensor, Therapeutic Mediator and Probabilistic Driver of Adaptive Immunity.

Immunological reviews·2026

Same journal

Tissue-Resident Memory T Cells in the Heart: An Emerging Role in Chronic Inflammation.

Immunological reviews·2026

Same journal

Rethinking Immunity in Tissues: The Biology of Tertiary Lymphoid Structures.

Immunological reviews·2026

Same journal

Inflammation-Driven Lymphoid Structures: Organization, Function, and Clinical Impact Across Autoimmunity, Cancer, and Checkpoint Toxicity.

Immunological reviews·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 8, 2026

The Lambda Select cII Mutation Detection System

The Lambda Select cII Mutation Detection System

Published on: April 26, 2018

Bugs in the system.

Vineet D Menachery¹, Ralph S Baric

¹Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7435, USA.

Immunological Reviews

|August 17, 2013

Summary

This summary is machine-generated.

Systems biology offers a powerful approach to understanding complex immune responses to respiratory viruses like influenza and coronavirus. This review highlights systems-based methods for identifying novel therapeutic targets in infectious diseases.

Keywords:

H1N1 H5N1 MERS-CoV SARS-CoV coronavirus influenza systems biology

More Related Videos

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

Related Experiment Videos

Last Updated: May 8, 2026

The Lambda Select cII Mutation Detection System

The Lambda Select cII Mutation Detection System

Published on: April 26, 2018

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

Area of Science:

Immunology
Systems Biology
Infectious Diseases

Background:

Immunity to respiratory viruses involves intricate biological networks affecting disease.
Understanding these networks is crucial for disease progression and pathogenesis insights.

Purpose of the Study:

To review systems-based approaches for modeling and identifying therapeutic targets in respiratory virus infections.
To explore the application of systems biology in understanding influenza and coronavirus pathogenesis.

Main Methods:

Integration and modeling of multiple biological parameters.
Description of refined systems-based approaches for target identification and validation.
Review of existing literature on systems biology in infectious disease research.

Main Results:

Systems biology enables comprehensive analysis of complex host-pathogen interactions.
Identification of novel targets within biological networks is facilitated by these approaches.
The review outlines strategies for advancing systems biology applications in virology.

Conclusions:

Systems biology presents a unique opportunity to revolutionize the understanding of infectious disease processes.
Further expansion of these methods can enhance our knowledge of viral immunity and pathogenesis.
This approach is vital for developing effective strategies against respiratory virus infections.