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Difference from Background: Limit of Detection01:05

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...
Biasing of Metal-Semiconductor Junctions01:27

Biasing of Metal-Semiconductor Junctions

Biasing metal-semiconductor junctions involves applying a voltage across the junction. Specifically, the metal is connected to a voltage source, while the semiconductor is grounded. This technique is essential for controlling the direction and magnitude of current flow in electronic devices, including diodes, transistors, and photovoltaic cells.
In Schottky junctions, where the semiconductor is n-type, applying a positive voltage to the metal relative to the semiconductor reduces its Fermi...

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Related Experiment Video

Updated: Jun 17, 2026

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores
09:43

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Published on: October 31, 2013

Noise limitations in solid state photodetectors.

K M van Vliet1

  • 1Department of Electrical Engineering, University of Minnesota, Minneapolis, Minnesota, USA.

Applied Optics
|January 12, 2010
PubMed
Summary
This summary is machine-generated.

This study categorizes photodetector noise sources and introduces consistent characterization metrics. It analyzes photodetective conversion processes and photon field fluctuations, deriving detectivity for various devices, including novel insights into avalanche diodes and photoconductive detectors.

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Last Updated: Jun 17, 2026

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Published on: November 30, 2012

Area of Science:

  • Optoelectronics and Semiconductor Physics
  • Photonics and Detector Technology
  • Noise Analysis and Signal Processing

Background:

  • Photodetectors exhibit complex noise characteristics arising from five primary sources: blackbody photon field, ambient photon field, signal, spontaneous device noise, and circuitry.
  • Existing characterization metrics for photodetector noise, such as noise equivalent power and detectivity, have limitations and require consistent notation for clarity.
  • Understanding photodetective conversion processes and photon field fluctuations is crucial for optimizing detector performance and minimizing noise.

Purpose of the Study:

  • To provide a comprehensive overview of noise and response in photodetectors, establishing a consistent notation for characterization.
  • To analyze photodetective conversion processes and photon field fluctuations, including nonthermal fields and stimulated emission effects.
  • To derive and discuss the detectivity for various photodetector types, offering new theoretical insights and experimental comparisons.

Main Methods:

  • Theoretical analysis of noise sources and their impact on photodetector performance.
  • Development and application of consistent characterization metrics (noise equivalent power, detectivity, noise figure).
  • Derivation of detectivity formulas for photoemission, junction, avalanche, and photoconductive detectors, incorporating quantum effects and non-Poissonian fields.

Main Results:

  • Identified and categorized five fundamental noise sources in photodetectors, proposing standardized metrics for noise characterization.
  • Demonstrated that avalanche multiplication in avalanche diodes reduces detectivity by a factor related to the gain.
  • Presented a new derivation of McIntyre's formula for avalanche diodes, accounting for non-Poissonian boson fields, and discussed various classes of photoconductive detectors.

Conclusions:

  • A consistent framework for understanding and quantifying photodetector noise is essential for device development and application.
  • The theoretical analysis provides valuable insights into the fundamental limitations and performance characteristics of diverse photodetector technologies.
  • This work offers a unified approach to photodetector noise analysis, crucial for advancing sensitive optical detection systems.