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Related Concept Videos

Instrument Calibration01:12

Instrument Calibration

644
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...
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Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
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Real Time RT-PCR02:57

Real Time RT-PCR

64.3K
Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...
64.3K
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

4.0K
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...
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Related Experiment Video

Updated: Jan 6, 2026

Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software
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Point-of-care biomarker quantification enabled by sample-specific calibration.

Monica P McNerney1, Yan Zhang1, Paige Steppe1

  • 1School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30318, USA.

Science Advances
|October 4, 2019
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Summary

Researchers developed a new, inexpensive diagnostic platform using cell-free expression for easy-to-read, quantitative results from complex samples like blood. This technology enables low-cost, minimal-equipment diagnostics for various biomarkers.

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Area of Science:

  • Biotechnology
  • Molecular Diagnostics
  • Point-of-Care Testing

Background:

  • Current at-home blood diagnostics require specialized equipment and struggle with reliable quantification in complex samples.
  • A significant barrier exists in developing affordable, minimal-equipment diagnostics for diverse biomarkers.

Purpose of the Study:

  • To develop an inexpensive, user-friendly diagnostic platform for quantitative biomarker detection.
  • To overcome challenges of reliable quantification in complex biological samples like blood.
  • To create a generalizable platform for low-cost diagnostics.

Main Methods:

  • Utilized cell-free expression systems to generate visible, colored readouts.
  • Implemented a parallelized calibration scheme using patient samples for custom reference curves.
  • Demonstrated quantification of a micronutrient and nucleic acids.

Main Results:

  • Developed a quantitative diagnostic platform with naked-eye readouts.
  • Achieved robustness against interference effects common in complex samples.
  • Successfully quantified a clinically relevant micronutrient and nucleic acids.

Conclusions:

  • The developed platform offers a generalizable approach for inexpensive, quantitative diagnostics.
  • Cell-free expression combined with sample-specific calibration overcomes key limitations in current diagnostics.
  • This technology has the potential to significantly advance at-home and point-of-care healthcare.