Jove
Visualize
Contact Us

Related Concept Videos

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

2.9K
We present a method, which utilizes a generalizable area-based image analysis approach to identify cell counts. Analysis of different cell populations exploited the significant cell height and structure differences between distinct cell types within an adaptive...
2.9K
Nightmares and Night Terrors01:18

Nightmares and Night Terrors

478
Nightmares and night terrors represent two distinct types of sleep disturbances that differ in timing, characteristics, and the sleeper's recall of the event. Nightmares are vivid, disturbing dreams that usually awaken the sleeper from REM sleep, a stage of sleep where brain activity is high, and dreams are most frequent. Upon awakening, individuals often have detailed recollections of their nightmares, which can include themes of threats to survival, security, or self-esteem.
Nightmares...
478
Extraction and Characterization of Surfactants from Atmospheric Aerosols09:34

Extraction and Characterization of Surfactants from Atmospheric Aerosols

17.3K
Methods are presented for the targeted extraction of surfactants present in atmospheric aerosols and the determination of their absolute concentrations and surface tension curves in water, including their Critical Micelle Concentration...
17.3K
Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer06:27

Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer

8.4K
The goal of the methods presented here is to measure aerosol optical thickness of the atmosphere. The sun photometer is pointed at the sun and the largest voltage reading obtained on an in-built digital voltmeter is recorded. Atmospheric measurements such as barometric pressure and relative humidity are also...
8.4K
Restless Leg Syndrome and Night Terrors01:27

Restless Leg Syndrome and Night Terrors

501
Restless Leg Syndrome (RLS), also known as Willis-Ekbom disease, is a neurological disorder characterized by an uncontrollable urge to move the legs due to uncomfortable sensations. These sensations typically occur during periods of rest or inactivity, particularly when lying down or sitting, and can severely disrupt sleep.
The exact cause of RLS is not fully understood, but it is believed to involve dopamine, a neurotransmitter that helps regulate muscle movement. Imbalances in dopamine levels...
501
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

398
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
398

You might also read

Related Articles

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

Sort by
Same author

Radiometric calibration methods for day/night whole sky imagers and extinction imagers.

Applied optics·2019
Same author

Extinction imagers for measurements of atmospheric beam transmittance.

Applied optics·2019
Same author

Day/night whole sky imagers for 24-h cloud and sky assessment: history and overview.

Applied optics·2013
See all related articles
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 Experiment Video

Updated: Jan 19, 2026

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.9K

Atmospheric cloud algorithms for day/night whole sky imagers.

Janet E Shields, Art R Burden, Monette E Karr

    Applied Optics
    |September 11, 2019
    PubMed
    Summary
    This summary is machine-generated.

    New atmospheric cloud algorithms accurately detect and categorize clouds using day/night whole sky imagers. These algorithms provide precise, pixel-by-pixel cloud detection under various lighting conditions, including starlight.

    More Related Videos

    Extraction and Characterization of Surfactants from Atmospheric Aerosols
    09:34

    Extraction and Characterization of Surfactants from Atmospheric Aerosols

    Published on: April 21, 2017

    17.3K
    Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer
    06:27

    Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer

    Published on: May 29, 2019

    8.4K

    Related Experiment Videos

    Last Updated: Jan 19, 2026

    Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
    07:05

    Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

    Published on: February 15, 2022

    2.9K
    Extraction and Characterization of Surfactants from Atmospheric Aerosols
    09:34

    Extraction and Characterization of Surfactants from Atmospheric Aerosols

    Published on: April 21, 2017

    17.3K
    Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer
    06:27

    Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer

    Published on: May 29, 2019

    8.4K

    Area of Science:

    • Atmospheric science
    • Remote sensing
    • Cloud physics

    Background:

    • Accurate cloud detection is crucial for meteorological and climate studies.
    • Existing cloud algorithms face challenges in varying light conditions (day, night, starlight).
    • Whole sky imagers offer comprehensive sky coverage but require robust algorithms for data interpretation.

    Purpose of the Study:

    • To introduce novel day and night cloud detection and classification algorithms.
    • To assess the accuracy of these newly developed algorithms.
    • To evaluate the performance of visible and near-infrared spectral bands for cloud analysis.

    Main Methods:

    • Development of day cloud algorithm using red/blue ratios and clear sky comparisons.
    • Implementation of adaptive features for haze adjustment in day and night algorithms.
    • Design of night cloud algorithms based on earth-to-space beam transmittances and radiance comparisons.

    Main Results:

    • Algorithms provide pixel-by-pixel cloud detection and opacity categorization with excellent accuracy.
    • Day algorithm distinguishes opaque and thin clouds effectively.
    • Night algorithms accurately determine cloud presence and report earth-to-space beam transmittance.

    Conclusions:

    • The developed algorithms offer a significant advancement in cloud detection capabilities.
    • The algorithms are effective across diverse lighting conditions, including low-light starlight.
    • The study validates the utility of specific spectral bands for atmospheric cloud analysis.