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

Glassware Calibration

Glassware Calibration

Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...

Instrument Calibration

Instrument Calibration

Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...

Calibration Curves: Linear Least Squares

Calibration Curves: Linear Least Squares

A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...

Calibration Curves: Correlation Coefficient

Calibration Curves: Correlation Coefficient

In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the other increases, and...

Plotting and Calibrating the Root Locus

Plotting and Calibrating the Root Locus

Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is observed...

Uncertainty in Measurement: Reading Instruments

Uncertainty in Measurement: Reading Instruments

Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...

You might also read

Related Articles

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

Sort by

Same author

Developing a low-cost milliliter-scale chemostat array for precise control of cellular growth.

Quantitative biology (Beijing, China)·2019

Same author

Cryptic sequence features in the active postmortem transcriptome.

BMC genomics·2018

Same author

Gene Meter: Accurate abundance calculations of gene expression.

Communicative & integrative biology·2017

Same author

Gene expression in the twilight of death: The increase of thousands of transcripts has implications to transplantation, cancer, and forensic research.

BioEssays : news and reviews in molecular, cellular and developmental biology·2017

Same author

Distinctive thanatomicrobiome signatures found in the blood and internal organs of humans.

Journal of microbiological methods·2014

Same author

Physico-chemical foundations underpinning microarray and next-generation sequencing experiments.

Nucleic acids research·2013

Search research articles

Related Experiment Video

Updated: Jun 11, 2026

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

Scanner calibration revisited.

Alexander E Pozhitkov¹

¹Max Plank Institute for Evolutionary Biology, Ploen, Germany. alexander.pozhitkov@evolbio.mpg.de

BMC Bioinformatics

|July 3, 2010

Summary

This summary is machine-generated.

Full Moon BioSystems calibration slides are inadequate for microarray scanner calibration due to unaddressed autofluorescence. Re-analysis reveals a power-law function accurately describes scanner response, contradicting previous findings.

More Related Videos

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Published on: December 1, 2016

Related Experiment Videos

Last Updated: Jun 11, 2026

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Published on: December 1, 2016

Area of Science:

Biotechnology
Bioinformatics
Microarray technology

Background:

Microarray scanner calibration is essential for accurate data interpretation.
Previous studies utilized Full Moon BioSystems slides for calibration.
Discrepancies in signal intensity led to re-evaluation of calibration slide quality.

Purpose of the Study:

To re-investigate the calibration quality of Full Moon BioSystems slides.
To assess the accuracy of analysis performed in prior research.
To identify a more accurate model for microarray scanner response.

Main Methods:

Recorded signal intensities on three microarray scanners using Full Moon BioSystems slides.
Analyzed raw signal intensities without normalization or transformation.
Employed a weighted least-squares method for data fitting.

Main Results:

Previous analysis by Shi et al. overlooked slide autofluorescence, distorting scanner response.
A power-law function, accounting for autofluorescence, accurately models scanner response.
Microarray scanner response is less distorted than previously reported.

Conclusions:

Full Moon BioSystems calibration slides are unsuitable for accurate microarray scanner calibration.
The presence of autofluorescence significantly impacts calibration accuracy.
A power-law model provides a more reliable method for describing scanner response.