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

Difference from Background: Limit of Detection

Difference from Background: Limit of Detection

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...

Accuracy, limits, and approximation

Accuracy, limits, and approximation

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...

Optimal Arousal Theory

Optimal Arousal Theory

The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
The...

You might also read

Related Articles

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

Sort by

Same author

Intraosseous spindle cell lipoma of the maxilla: case report and review of the literature.

International journal of oral and maxillofacial surgery·2025

Same author

Towards continuous-to-continuous 3D imaging in the real world.

Physics in medicine and biology·2019

Same author

Real-time Data Acquisition and Maximum-Likelihood Estimation for Gamma Cameras.

IEEE NPSS Real Time Conference : conference record. Conference on Real-Time Computer Applications in Nuclear, Particle, and Plasma Physics·2016

Same author

ADAPTIVE SMALL-ANIMAL SPECT/CT.

IEEE Nuclear Science Symposium conference record. Nuclear Science Symposium·2015

Same author

ULTRASONIC PROPAGATION VELOCITY IN KTaO<sub>3</sub>.

Physics letters. A·2015

Same author

A new design for a SPECT small-animal imager.

IEEE Nuclear Science Symposium conference record. Nuclear Science Symposium·2015

Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026

Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026

Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026

Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026

Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026

Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 6, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Approximations to ideal-observer performance on signal-detection tasks.

E Clarkson¹, H H Barrett

¹Department of Radiology, University of Arizona, Tucson, Arizona 85724, USA. clarkson@gonzo.radiology.arizona.edu

|March 18, 2008

Summary

This summary is machine-generated.

This study evaluates ideal-observer performance in signal detection tasks. The likelihood-generating function approximation accurately predicts performance, while log-likelihood signal-to-noise ratio approximations can be unreliable.

More Related Videos

A Two-interval Forced-choice Task for Multisensory Comparisons

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses

Published on: January 23, 2017

Related Experiment Videos

Last Updated: Jul 6, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

A Two-interval Forced-choice Task for Multisensory Comparisons

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses

Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses

Published on: January 23, 2017

Area of Science:

Signal detection theory
Statistical decision theory
Machine learning

Background:

Ideal-observer performance is a key metric in signal detection.
Accurate estimation of this performance is crucial for various applications.
Existing approximations have varying degrees of reliability.

Purpose of the Study:

To compute the exact ideal-observer performance for diverse signal-detection tasks.
To evaluate the accuracy of approximations based on signal-to-noise ratio (SNR) of log likelihood and likelihood-generating function.
To assess the utility of the SNR of the likelihood ratio as a performance measure.

Main Methods:

Calculated the area under the receiver's operating characteristic curve (AUC) for six signal-detection examples.
Employed normal, exponential, Poisson, and two-sided exponential noise models.
Investigated signal effects on mean and variance under different noise models.
Computed SNR of log likelihood and likelihood-generating function for approximation analysis.

Main Results:

The likelihood-generating function approximation closely matched exact AUC values across various noise models.
The log-likelihood SNR approximation demonstrated significant deviations from exact performance in some cases.
The SNR of the likelihood ratio itself proved to be a poor indicator of ideal-observer performance.

Conclusions:

The likelihood-generating function provides a reliable approximation for ideal-observer performance in signal detection.
Log-likelihood SNR is not consistently dependable for performance estimation.
SNR of the likelihood ratio should not be used as a proxy for ideal-observer performance.