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

You might also read

Related Articles

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

Sort by
Same author

Comprehensive analysis of bZIP gene family and function of RcbZIP17 on Botrytis resistance in rose (Rosa chinensis).

Gene·2022
Same author

Dynamics of Polar Skyrmion Bubbles under Electric Fields.

Physical review letters·2022
Same author

Interaction between gut microbiota and tumour chemotherapy.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico·2022
Same author

Safety and effectiveness of apatinib in elderly patients with metastatic gastric cancer: a sub-analysis from the large-scale, prospective observational study of apatinib for gastric cancer treatment in a real-world clinical setting (AHEAD-G202).

Journal of gastrointestinal oncology·2022
Same author

Comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinoma.

Frontiers in genetics·2022
Same author

Protective Effect of Inactivated COVID-19 Vaccines against Progression of SARS-CoV-2 Omicron and Delta Variant Infections to Pneumonia in Beijing, China, in 2022.

Vaccines·2022

Related Experiment Video

Updated: Sep 1, 2025

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
07:34

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

8.1K

A Novel Low Rank Smooth Flat-Field Correction Algorithm for Hyperspectral Microscopy Imaging.

Yukun Wang, Yanfeng Gu, Xiaomei Li

    IEEE Transactions on Medical Imaging
    |August 15, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new flat-field correction method for hyperspectral microscopy. The Low Rank Smooth Flat-field Correction (LRSFC) method effectively corrects uneven illumination, improving image precision.

    More Related Videos

    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
    08:18

    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

    Published on: June 16, 2020

    7.5K
    Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
    09:04

    Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

    Published on: February 23, 2018

    9.6K

    Related Experiment Videos

    Last Updated: Sep 1, 2025

    Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
    07:34

    Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

    Published on: August 22, 2019

    8.1K
    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
    08:18

    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

    Published on: June 16, 2020

    7.5K
    Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
    09:04

    Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

    Published on: February 23, 2018

    9.6K

    Area of Science:

    • Microscopy
    • Image Processing
    • Spectroscopy

    Background:

    • Flat-field correction is essential for quantitative microscopic analysis.
    • Uneven illumination from vignetting degrades spatial and spectral precision in hyperspectral imaging.
    • Existing methods struggle to simultaneously extract uneven illumination across numerous spectral bands.

    Purpose of the Study:

    • To propose a novel flat-field correction method for hyperspectral microscopy imaging.
    • To address the challenge of correcting uneven illumination in multi-band hyperspectral data.
    • To enhance the precision of spatial and spectral information in quantitative microscopic analysis.

    Main Methods:

    • Developed a Low Rank Smooth Flat-field Correction (LRSFC) model.
    • Exploited vignetting properties: low-rank and local smoothness (spatial frequency domain sparseness).
    • Utilized the alternating direction multiplier method (ADMM) for optimization to obtain a unique flat-field term.

    Main Results:

    • The LRSFC model successfully extracts a unique flat-field term with low-rank and smooth properties.
    • Experimental assessments confirmed LRSFC does not introduce artifacts like extra cell texture.
    • LRSFC demonstrated superior performance compared to existing state-of-the-art flat-field correction methods.

    Conclusions:

    • The proposed LRSFC method is effective for flat-field correction in hyperspectral microscopy.
    • LRSFC preserves image integrity by avoiding the addition of artifacts.
    • This method significantly improves the accuracy of quantitative microscopic analysis.