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

Methods of Classification and Identification01:28

Methods of Classification and Identification

1.1K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
1.1K
Visual System01:26

Visual System

1.7K
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
1.7K
Visual Agnosia01:12

Visual Agnosia

1.0K
Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round...
1.0K
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

8.2K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
8.2K
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

8.9K
At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
8.9K
Assessment of the Mouth01:26

Assessment of the Mouth

1.1K
A thorough mouth assessment, including inspection and palpation of the lips, gums, tongue, tonsils, uvula, and pharynx, is crucial in detecting potential health issues. Diseases ranging from oral cancer to systemic conditions like diabetes could be identified early through careful oral examination. This article provides a detailed guide on conducting a comprehensive mouth assessment.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
1.1K

You might also read

Related Articles

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

Sort by
Same author

Upstream development of Escherichia coli fermentation process with PhoA promoter using design of experiments (DoE).

Journal of industrial microbiology & biotechnology·2020
Same author

Thermally ruggedized ITO transparent electrode films for high power optoelectronics.

Optics express·2017
Same author

Macular pigment optical density at four retinal loci during 120 days of lutein supplementation.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)·2007
Same author

Macular pigment optical density and photophobia light threshold.

Vision research·2006
Same author

Spatial properties of photophobia.

Investigative ophthalmology & visual science·2004
Same author

Action spectrum for photophobia.

Journal of the Optical Society of America. A, Optics, image science, and vision·2003

Related Experiment Video

Updated: Jan 23, 2026

A Fish-feeding Laboratory Bioassay to Assess the Antipredatory Activity of Secondary Metabolites from the Tissues of Marine Organisms
16:03

A Fish-feeding Laboratory Bioassay to Assess the Antipredatory Activity of Secondary Metabolites from the Tissues of Marine Organisms

Published on: January 11, 2015

10.0K

Marine debris visual identification assessment.

Zachary Angelini, Nancy Kinner, Justin Thibault

    Marine Pollution Bulletin
    |June 25, 2019
    PubMed
    Summary
    This summary is machine-generated.

    Shoreline surveys for marine debris can be inaccurate. White and clear plastics are often missed, impacting data reliability for this cost-effective monitoring method.

    Keywords:
    AccuracyBeach surveyMarine debrisVisual identification

    More Related Videos

    Assessing Microglial Phagocytosis of Myelin Debris in vitro Under Repeated Magnetic Stimulation
    08:34

    Assessing Microglial Phagocytosis of Myelin Debris in vitro Under Repeated Magnetic Stimulation

    Published on: June 17, 2025

    944
    Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics
    13:51

    Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics

    Published on: February 18, 2009

    12.9K

    Related Experiment Videos

    Last Updated: Jan 23, 2026

    A Fish-feeding Laboratory Bioassay to Assess the Antipredatory Activity of Secondary Metabolites from the Tissues of Marine Organisms
    16:03

    A Fish-feeding Laboratory Bioassay to Assess the Antipredatory Activity of Secondary Metabolites from the Tissues of Marine Organisms

    Published on: January 11, 2015

    10.0K
    Assessing Microglial Phagocytosis of Myelin Debris in vitro Under Repeated Magnetic Stimulation
    08:34

    Assessing Microglial Phagocytosis of Myelin Debris in vitro Under Repeated Magnetic Stimulation

    Published on: June 17, 2025

    944
    Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics
    13:51

    Analyzing Gene Expression from Marine Microbial Communities using Environmental Transcriptomics

    Published on: February 18, 2009

    12.9K

    Area of Science:

    • Environmental Science
    • Marine Biology
    • Pollution Studies

    Background:

    • Marine debris monitoring often relies on visual shoreline surveys.
    • The accuracy of these surveys, particularly for small plastic fragments, requires further investigation.
    • Understanding potential biases in visual debris identification is crucial for reliable data.

    Purpose of the Study:

    • To identify potential sources of error in visual marine debris identification during shoreline surveys.
    • To assess the influence of debris characteristics (color, size) and survey site conditions on identification accuracy.
    • To evaluate the impact of observer and environmental factors on the accuracy of marine debris counts.

    Main Methods:

    • Laboratory-scale experiment simulating shoreline survey conditions.
    • Visual identification of marine debris (1-2 cm fragments) on sand.
    • Analysis of accuracy based on debris color, sand color, and shell fragment density.

    Main Results:

    • Accurate identification of marine debris is influenced by beach characteristics, observer factors, and debris properties.
    • Plastic fragment color significantly affects detection rates: blue plastic (95% accuracy) was accurately counted, while white (50%) and clear (55%) plastics were under-counted.
    • The density of shell fragments on the beach also impacted the accuracy of debris identification.

    Conclusions:

    • Visual shoreline surveys may underestimate the prevalence of white and clear marine plastic debris.
    • Current survey methodologies may need modification to improve the accuracy of marine debris monitoring.
    • Further research is recommended to optimize cost-effective visual survey techniques for marine pollution assessment.