Jove
Visualize
Contact Us
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 Concept Videos

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.6K
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...
8.6K
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

2.7K
Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
2.7K
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

1.1K
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
1.1K

You might also read

Related Articles

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

Sort by
Same author

A Porous Interfacial Photothermal Layer of Fused Core-Shell Carbon-Polymer Nanospheres for Directional Salt Crystallization and Zero-Liquid-Discharge.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Heterogeneous interfacial polarization domain engineering toward lightweight skins with microwave absorption and passive radiative cooling.

Journal of colloid and interface science·2026
Same author

Synergistic Microwave Absorption and Thermal Management in Biobased LM/SiC/BNC Composite Films for Flexible Electronics.

ACS applied materials & interfaces·2026
Same author

The ideal-reality gap: a qualitative study of nurse middle managers' perspectives on speaking up for patient safety.

Frontiers in public health·2026
Same author

Regulating Noncovalent Interactions to Construct High-Temperature Multiaxial Lead-Free Metal Halide Hybrid Ferroelectrics.

Journal of the American Chemical Society·2026
Same author

The gp38 protein inhibits host adsorption of phage vB_EcoM_SD286.

Frontiers in microbiology·2026

Related Experiment Video

Updated: Feb 20, 2026

Picometer-Precision Atomic Position Tracking through Electron Microscopy
15:04

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Published on: July 3, 2021

8.4K

Fixed-pattern noise correction method based on improved moment matching for a TDI CMOS image sensor.

Jiangtao Xu, Huafeng Nie, Kaiming Nie

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |October 17, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an improved method using spatial correlation and bilateral filters to correct fixed-pattern noise (FPN) in time-delay-integration CMOS image sensors (TDI-CIS), significantly reducing noise and preserving image details.

    More Related Videos

    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
    11:54

    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

    Published on: March 13, 2017

    9.9K
    Sample Drift Correction Following 4D Confocal Time-lapse Imaging
    10:04

    Sample Drift Correction Following 4D Confocal Time-lapse Imaging

    Published on: April 12, 2014

    17.0K

    Related Experiment Videos

    Last Updated: Feb 20, 2026

    Picometer-Precision Atomic Position Tracking through Electron Microscopy
    15:04

    Picometer-Precision Atomic Position Tracking through Electron Microscopy

    Published on: July 3, 2021

    8.4K
    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
    11:54

    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

    Published on: March 13, 2017

    9.9K
    Sample Drift Correction Following 4D Confocal Time-lapse Imaging
    10:04

    Sample Drift Correction Following 4D Confocal Time-lapse Imaging

    Published on: April 12, 2014

    17.0K

    Area of Science:

    • Image Sensor Technology
    • Signal Processing
    • Noise Reduction Techniques

    Background:

    • Fixed-pattern noise (FPN) is a significant issue in CMOS image sensors (CIS), particularly in time-delay-integration CIS (TDI-CIS).
    • Existing noise correction methods may struggle to preserve image details or require auxiliary equipment.

    Purpose of the Study:

    • To propose and validate an improved moment matching method for effective FPN correction in TDI-CIS.
    • To enhance image quality by reducing both row and column FPN without compromising image details.

    Main Methods:

    • Utilized a spatial correlation filter (SCF) to estimate row FPN (RFPN).
    • Employed a bilateral filter (BF) to estimate column FPN (CFPN).
    • Applied an improved moment matching method with a moving window for noise correction.

    Main Results:

    • Demonstrated significant reduction in the standard deviation of row mean vector (SDRMV) from 5.6761 LSB to 0.1948 LSB.
    • Showcased a decrease in the standard deviation of column mean vector (SDCMV) from 15.2005 LSB to 13.1949 LSB.
    • Achieved average SDRMV and SDCMV reductions of 5.4922 LSB and 2.0357 LSB, respectively, across different TDI-CIS devices.

    Conclusions:

    • The proposed method effectively corrects FPN in TDI-CIS images.
    • The technique preserves essential image details without the need for external equipment.
    • Validated effectiveness across various TDI-CIS sensors and imaging conditions.