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...

Gas Chromatography: Types of Detectors-II

Gas Chromatography: Types of Detectors-II

In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...

You might also read

Related Articles

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

Sort by

Same author

Gapless comparative genomics reveals effector landscape and adaptive selection signatures in Plasmodiophora brassicae.

Journal of genetics and genomics = Yi chuan xue bao·2026

Same author

Atomic Origins of Ultrahigh-Voltage Failure in LiCoO<sub>2</sub> Cathodes.

Journal of the American Chemical Society·2026

Same author

Multisite Chronic Pain Reveals Neuro-Immune-Metabolic Dysregulation across Rheumatoid Arthritis and Depression.

Research (Washington, D.C.)·2026

Same author

The Distally Based Saphenous Neurocutaneous Perforator Flap: A Versatile Donor Site for Reconstruction of Complex Soft Tissue Defects of the Lower Leg.

Annals of plastic surgery·2026

Same author

PP2A-ERK-PPAR-α/PGC-1α Axis Drives Tubular Lipotoxicity and Mitochondrial Dysfunction in Nephron-Sparing Surgery-Related Acute Kidney Injury.

Antioxidants & redox signaling·2026

Same author

Polymer-Modulated Solvation Chemistry via Compatibilizing-Solvent Plasticization for Stable High-Energy Lithium Metal Batteries.

Journal of the American Chemical Society·2026

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: Jun 11, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

GM-APD LiDAR target detection method based on trigger probability interval difference.

Xuelian Liu, Zhanpeng Zhang, Kai Yuan

|June 10, 2026

Summary

This summary is machine-generated.

This study introduces a new detection method for Geiger-mode avalanche photodiode (GM-APD) LiDAR, improving performance in strong background light. The technique enhances weak echo detection, achieving high probability and sub-meter localization accuracy.

More Related Videos

A Tactile Automated Passive-Finger Stimulator (TAPS)

A Tactile Automated Passive-Finger Stimulator (TAPS)

Published on: June 3, 2009

Related Experiment Videos

Last Updated: Jun 11, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

A Tactile Automated Passive-Finger Stimulator (TAPS)

A Tactile Automated Passive-Finger Stimulator (TAPS)

Published on: June 3, 2009

Area of Science:

Optoelectronics
Signal Processing
LiDAR Technology

Background:

Geiger-mode avalanche photodiode (GM-APD) LiDAR systems face challenges with weak echo detection under strong background light.
Existing methods struggle to maintain performance and accuracy in such noisy environments.

Purpose of the Study:

To develop an advanced detection method for GM-APD LiDAR systems to overcome weak echo signal loss in high background light conditions.
To improve the reliability and precision of LiDAR measurements.

Main Methods:

A novel detection method utilizing trigger probability gradient statistics is proposed.
Poisson statistics and an interval difference operator are employed to convert non-uniform noise into a stationary process.
A 30% overlapping stepping gating strategy is implemented to boost transient responses and mitigate dead-time effects.

Main Results:

The method achieves a 93.5% detection probability at a signal-to-background ratio of 0.1.
A false-alarm rate below 1% was maintained under challenging conditions.
Field tests demonstrated localization errors within 0.6 meters at a distance of 1060 meters.

Conclusions:

The proposed trigger probability gradient statistics method significantly enhances weak echo detection in GM-APD LiDAR under strong background light.
The technique offers robust performance, high detection probability, and sub-meter localization precision, validating its practical applicability.