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Related Concept Videos

Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

101.2K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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Accuracy and Precision01:52

Accuracy and Precision

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate...
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Improving Translational Accuracy02:07

Improving Translational Accuracy

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Improving Translational Accuracy02:07

Improving Translational Accuracy

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No description available
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Range00:59

Range

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The range is one of the measures of variation. It can be defined as the difference between a dataset's highest and lowest values. For example, in the study of seven 16-ounce soda cans, the filled volume of soda was measured, thus producing the following amount (in ounces) of soda:
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
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Accuracy, limits, and approximation01:28

Accuracy, limits, and approximation

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Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
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Related Experiment Video

Updated: Feb 3, 2026

Procoagulant Platelet Characterization by Measuring Phosphatidylserine Exposure and Microvesicle Release from Human Purified Platelets
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Automated platelet counts: accuracy, precision, and range

D W Ross, L Ayscue, M Gulley

    American Journal of Clinical Pathology
    |August 1, 1980
    PubMed
    Summary
    This summary is machine-generated.

    Automated platelet counters offer precise and accurate results essential for high-volume labs. Proper quality control ensures reliable automated platelet counts, addressing challenges like variable platelet size and measurement range.

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    Area of Science:

    • Hematology
    • Laboratory Automation
    • Medical Diagnostics

    Background:

    • High-volume laboratories require precise and accurate platelet counting.
    • Challenges in platelet counting include dynamic range, variable size, and aggregability.
    • Effective quality control is crucial for reliable automated counts.

    Purpose of the Study:

    • To evaluate the precision and accuracy of automated platelet counters.
    • To assess the suitability of reference materials for platelet counting.
    • To present a quality-control method for automated platelet counting.

    Main Methods:

    • Experimental design to measure linearity and precision of two counter types: light scattering and electronic aperture impedance.
    • Evaluation of commercially available reference materials.
    • Development and presentation of a quality-control method.

    Main Results:

    • Both light scattering and electronic aperture impedance instruments demonstrate excellent performance.
    • Commercially available reference materials are suitable for quality control.
    • The proposed quality-control method, combined with validated instrumentation and materials, ensures rapid, precise, and accurate automated platelet counts.

    Conclusions:

    • Automated platelet counting instrumentation is highly reliable.
    • Reference materials are adequate for quality assurance.
    • A well-designed quality-control strategy enables accurate and precise automated platelet counting in high-throughput settings.