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

8.0K
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...
8.0K
Deconvolution01:20

Deconvolution

548
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...
548
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

1.2K
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
1.2K

You might also read

Related Articles

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

Sort by
Same author

Rhein from a traditional herbal formula attenuates hepatic fibrosis via ALDH1A3-mediated retinoic acid metabolism.

Chinese medicine·2026
Same author

Brief Report: Prevalence and Trends of Developmental Disabilities Among US Children and Adolescents Aged 3 to 17 Years From 2016 to 2024.

Journal of autism and developmental disorders·2026
Same author

Optimization of ultrasound-assisted extraction of Sargassum polycystum for antitumor activity: Multi-objective optimization and mechanistic insights.

Ultrasonics sonochemistry·2026
Same author

TMEM106C, BSG, COPE, CDCA8, KPNA2, LIG1, UQCRH, and CCT5: Predictive of Survival and Immunotherapy Resistance in Hepatocellular Carcinoma.

Human mutation·2026
Same author

Lung adenocarcinoma and colorectal cancer as double primary malignancies reveal lynch syndrome: a case report of germline MLH1 mutation with response to immunotherapy and familial aggregation.

Frontiers in immunology·2026
Same author

Musculoskeletal deformities in children with spinal muscular atrophy: a multicenter cross-sectional study with longitudinal follow-up.

Annals of physical and rehabilitation medicine·2026

Related Experiment Video

Updated: Jan 17, 2026

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.4K

Research on a multi-level adaptive denoising algorithm based on ICESat-2 background photon characteristics.

Rong He, Longsheng Bi, Jinhua Lu

    Optics Express
    |September 23, 2025
    PubMed
    Summary

    This study introduces a novel Multi-level denoising algorithm to improve ICESat-2 data quality. The algorithm effectively reduces noise in daytime observations, enhancing surface parameter retrieval accuracy.

    More Related Videos

    Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics
    09:00

    Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

    Published on: October 27, 2017

    9.3K

    Related Experiment Videos

    Last Updated: Jan 17, 2026

    Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
    07:13

    Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

    Published on: February 25, 2021

    4.4K
    Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics
    09:00

    Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

    Published on: October 27, 2017

    9.3K

    Area of Science:

    • Earth Observation
    • Geospatial Data Processing
    • Remote Sensing Technology

    Background:

    • ICESat-2 data are crucial for Earth observation but are highly sensitive to solar radiation, causing noise.
    • This noise compromises the accurate retrieval of surface structural parameters from ATLAS data.

    Purpose of the Study:

    • To develop and validate a Multi-level denoising algorithm for ICESat-2 data.
    • To address noise issues in daytime observations, particularly in complex terrain and vertical structures.

    Main Methods:

    • A preliminary-to-fine Multi-level denoising algorithm was proposed.
    • Innovations include an adaptive elliptical search domain, a maximum background rate threshold for noise estimation, and an optimized Box plot filter.

    Main Results:

    • The algorithm achieved an average denoising rate of 70% across forest, wasteland, glacier, and city surfaces.
    • Demonstrated improvements over existing methods: R² increased by ≥4.30%, MAE reduced by 0.68 m, RMSE reduced by 0.95 m.

    Conclusions:

    • The proposed algorithm is highly suitable for denoising ICESat-2 data in strong daytime noise environments.
    • The method effectively handles complex terrain and diverse surface features, improving data reliability.