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...

You might also read

Related Articles

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

Sort by

Same author

Unified modelling of gaze and pupil dynamics in saccadic tasks.

Scientific reports·2026

Same author

Gene model for the ortholog of <i>tgo</i> in <i>Drosophila mojavensis</i>.

microPublication biology·2025

Same author

Photo-thermal Catalytic CO<sub>2</sub> Methanation by RuO<sub><i>x</i></sub>@MIL-101(Cr) with 9.2% Apparent Quantum Yield under Visible Light Irradiation.

ACS applied materials & interfaces·2025

Same author

Multiple molecular diagnoses identified through genome sequencing in individuals with suspected rare disease.

HGG advances·2025

Same author

Streptococcus pneumoniae-Related Infective Endocarditis Complicated by Development of Psoas and Epidural Abscesses.

Cureus·2025

Same author

Generic Competencies in Dentistry: Students' and Teachers' Perceptions of Their Professional Relevance and Their Development in Undergraduate Studies at Universidad Diego Portales of Chile.

European journal of dental education : official journal of the Association for Dental Education in Europe·2025

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: Mar 18, 2026

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics

Published on: February 18, 2022

Realistic limits for subpixel movement detection.

David Mas, Jorge Perez, Belen Ferrer

|July 14, 2016

Summary

This summary is machine-generated.

Subpixel accuracy in object tracking is limited by an imaging system's dynamic range. The detection limit is determined by the number of bits, impacting superresolution experiments in various scientific fields.

More Related Videos

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Published on: July 3, 2021

Related Experiment Videos

Last Updated: Mar 18, 2026

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics

Mass-Sensitive Particle Tracking to Characterize Membrane-Associated Macromolecule Dynamics

Published on: February 18, 2022

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Published on: July 3, 2021

Area of Science:

Image processing and analysis
Computational imaging
Scientific instrumentation

Background:

Object tracking with subpixel accuracy is crucial for high-performance, low-cost applications.
Existing theoretical proposals for resolution enhancement are often limited by practical imaging system constraints.

Purpose of the Study:

To propose and demonstrate a realistic limit for subpixel accuracy.
To establish a connection between achievable resolution enhancement and image dynamic range.

Main Methods:

Development of simple numerical models to simulate and analyze subpixel accuracy limits.
Investigation of the relationship between image dynamic range and detection limits.

Main Results:

A realistic limit for subpixel accuracy was determined.
The maximum achievable resolution enhancement is directly related to the image's dynamic range.
The detection limit was found to be 1/2^(nr.bits).

Conclusions:

The findings provide a practical understanding of subpixel accuracy limitations.
Results can guide the design of superresolution experiments in microscopy, surveillance, and defense.
Image dynamic range is a critical factor in achieving high-resolution object tracking.