Jove
Visualize
Contact Us

Related Concept Videos

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

5.9K
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...
5.9K
Mass Analyzers: Common Types01:19

Mass Analyzers: Common Types

563
The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...
563
Gas Chromatography: Overview of Detectors01:13

Gas Chromatography: Overview of Detectors

435
Detectors in gas chromatography (GC) help identify and quantify the components of a mixture by translating chemical properties into measurable signals, which are displayed on a chromatogram. Detectors can be categorized into two main types: destructive and non-destructive.
A non-destructive detector allows a sample to be analyzed without altering or consuming it, meaning the sample can be collected after detection for further analysis. Examples include thermal conductivity detectors and...
435
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

1.0K
The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
1.0K
Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

334
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...
334
Gas Chromatography: Types of Detectors-I01:21

Gas Chromatography: Types of Detectors-I

374
There are different types of detectors used in gas chromatography, each with its own specific properties that make it suitable for detecting certain types of analytes. The most commonly used detectors in GC are thermal conductivity detector (TCD), flame ionization detector (FID), and electron capture detector (ECD).
TCD is the earliest and most widely used detector that operates by measuring the changes in the thermal conductivity of the carrier gas. When a sample compound enters the detector,...
374

You might also read

Related Articles

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

Sort by
Same journal

Assessment of Health Risks of Adults and Children Due to Consumption of Uranium in Groundwater from Chengalpattu District, Tamil Nadu, India.

Health physics·2026
Same journal

Radiation Protection Abstracts, Volume 46, Number 1.

Health physics·2026
Same journal

Specialized Radiological Assets for Navigable Two-dimensional and Three-dimensional Virtual and Augmented Reality.

Health physics·2026
Same journal

DoseBusters: A Fully Immersive Virtual Reality Game for Radiation Protection and Detection.

Health physics·2026
Same journal

Radioactivity in Bottled Drinking Water from Greater Dhaka City and Concomitant Ingestion Doses to Consumers.

Health physics·2026
Same journal

Assessment of Radiation Dose and Protection Practices in Neonatal Radiography in NICUs.

Health physics·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 5, 2025

Additive Manufacturing-Enabled Low-Cost Particle Detector
06:05

Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

1.2K

Zero-count Detector.

Thomas M Semkow1

  • 1Wadsworth Center, New York State Department of Health, Albany, NY 12237.

Health Physics
|December 6, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a statistical theory for zero-count detection (ZCD), essential for rare event analysis in physics and health physics. Bayesian methods, particularly the maximum-entropy prior, offer the most reliable solutions for ZCD problems.

More Related Videos

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
14:19

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

8.5K
A Precise and Autonomous System for the Detection of Insect Emergence Patterns
06:22

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

5.6K

Related Experiment Videos

Last Updated: Jun 5, 2025

Additive Manufacturing-Enabled Low-Cost Particle Detector
06:05

Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

1.2K
A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
14:19

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

8.5K
A Precise and Autonomous System for the Detection of Insect Emergence Patterns
06:22

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

5.6K

Area of Science:

  • Statistical theory
  • Rare event analysis
  • Physics and Health Physics applications

Background:

  • Zero-count detection (ZCD) is prevalent in fields counting rare events.
  • Classical statistics offers no adequate solutions for ZCD.
  • Bayesian statistics is necessary for addressing ZCD challenges.

Purpose of the Study:

  • To develop a statistical theory for zero-count detection (ZCD).
  • To explore Bayesian approaches for ZCD, including prior selection and estimation.
  • To evaluate alternative distributions like zero-inflated Poisson and Negative-binomial for ZCD.

Main Methods:

  • Development of a statistical theory for zero-class Poisson under specific conditions.
  • Investigation of uniform and reference priors in Bayesian statistics.
  • Derivation of Bayesian posteriors, point estimates, and upper limits.
  • Analysis of zero-inflated Poisson and Negative-binomial distributions using Bayesian marginalization.

Main Results:

  • The maximum-entropy prior demonstrated the least bias and risk, proving most admissible for ZCD.
  • Bayesian methods provide acceptable solutions where classical statistics fail for ZCD.
  • Zero-inflated Poisson and Negative-binomial distributions simplify to Poisson under limited information via Bayesian marginalization.

Conclusions:

  • A robust statistical theory for ZCD has been established using Bayesian inference.
  • The maximum-entropy prior is recommended for ZCD analysis due to its optimal properties.
  • Bayesian marginalization clarifies the relationship between advanced distributions and the Poisson distribution in ZCD contexts.