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...

Reconstruction of Signal using Interpolation

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...

Deconvolution

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...

Extraction: Partition and Distribution Coefficients

Extraction: Partition and Distribution Coefficients

The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an organic...

¹³C NMR: ¹H–¹³C Decoupling

¹³C NMR: ¹H–¹³C Decoupling

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...

You might also read

Related Articles

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

Sort by

Same author

[Research progress on the multidimensional regulation of gut microbiota on metabolism, immunity, and inflammatory response in metabolic associated fatty liver disease].

Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology·2026

Same author

[Application value of non-invasive prenatal diagnosis for recessive monogenic genetic diseases based on relative haplotype dosage changes].

Zhonghua yi xue za zhi·2025

Same author

[Application of ROC and PR curves in the evaluation of clinical diagnostic testing].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2022

Same author

[Effect of metformin combined with intermittent fasting on endoplasmic reticulum stress after cerebral ischemia-reperfusion in mice].

Zhonghua yi xue za zhi·2022

Same author

Synchronous renal cell carcinoma and pheochromocytoma presenting as acute decompensated heart failure.

Journal of postgraduate medicine·2019

Same author

miR-1 association with cell proliferation inhibition and apoptosis in vestibular schwannoma by targeting VEGFA.

Genetics and molecular research : GMR·2016

Search research articles

Related Experiment Video

Updated: Jun 14, 2026

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

Image subtraction with an encoded extended incoherent source.

|April 8, 2010

Summary

This summary is machine-generated.

This study introduces a novel source encoding technique for image subtraction, enhancing light power and overcoming limitations of small incoherent sources. Experimental results demonstrate its effectiveness compared to traditional methods.

Related Experiment Videos

Last Updated: Jun 14, 2026

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

Area of Science:

Optics
Image Processing
Photonics

Background:

Image subtraction requires specific coherence properties from the light source.
Obtaining sufficiently small and powerful incoherent sources for image processing is challenging.

Purpose of the Study:

To present a new technique for encoding extended incoherent sources for image subtraction.
To enhance the available light power for image processing operations.
To alleviate the difficulty of sourcing very small incoherent sources.

Main Methods:

Source encoding is achieved by spatially sampling an extended incoherent source using narrow slit apertures.
The encoding method is derived from the coherence requirements essential for image subtraction.
Experimental validation of the encoded incoherent source technique was performed.

Main Results:

The proposed source encoding method successfully increases the available light power for image subtraction.
Experimental results confirm the feasibility and effectiveness of the encoded incoherent source.
Comparisons show favorable outcomes against existing processing techniques.

Conclusions:

The developed source encoding technique provides a practical solution for enhancing light power in image subtraction.
This method effectively addresses the limitations associated with small incoherent sources in optical processing.
The technique offers a viable alternative for improving image subtraction performance.