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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

265
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
265
Local Anesthetics: Chemistry and Structure-Activity Relationship01:30

Local Anesthetics: Chemistry and Structure-Activity Relationship

6.7K
Local anesthetics (LAs) are drugs that induce a temporary loss of sensation in a limited body area, preventing pain. Cocaine was the first local anesthetic discovered in the late 19th century. Cocaine is a benzoic acid ester obtained from the leaves of coca shrubs and was often used for its psychotropic effects. Cocaine was first isolated in 1860 by Albert Niemann. Sigmund Freud studied the physiological actions of cocaine. Carl Koller later introduced it into clinical practice in 1884 as a...
6.7K
Transfer RNA Synthesis02:36

Transfer RNA Synthesis

13.4K
One of the unique features of tRNA is the presence of modified bases. In some tRNAs, modified bases account for nearly 20% of the total bases in the molecule. Altogether, these unusual bases protect the tRNA from enzymatic degradation by RNases.
Each of these chemical modifications is carried by a specific enzyme, post-transcription. All of these enzymes have unique base and site-specificity. Methylation, the most common chemical modification, is carried by at least nine different enzymes, with...
13.4K
Additional Subnuclear Structures02:10

Additional Subnuclear Structures

5.4K
The eukaryotic nucleus is a double membrane-bound organelle that contains nearly all of the cell’s genetic material in the form of chromosomes. It is rightly called the “brain” of the cell as it shoulders the responsibility of responding to various physiological processes, stress, altered metabolic conditions, and other cellular signals. 
The nucleus contains many membrane-less subnuclear organelles or nuclear bodies, such as nucleoli, Cajal bodies, speckles,...
5.4K
Types of Genetic Transfer Between Organisms02:18

Types of Genetic Transfer Between Organisms

31.1K
Genetic transfer occurs when genetic information is passed from one organism to another. It occurs via two mechanisms: vertical gene transfer and horizontal gene transfer. Vertical gene transfer occurs when genetic information is transferred from one generation to the next, which happens much more frequently than horizontal gene transfer. Both sexual and asexual reproduction are forms of vertical gene transfer, where one or more organisms pass some or all of their genome onto their progeny.
31.1K
Ionic Bonding and Electron Transfer02:48

Ionic Bonding and Electron Transfer

49.6K
Ions are atoms or molecules bearing an electrical charge. A cation (a positive ion) forms when a neutral atom loses one or more electrons from its valence shell, and an anion (a negative ion) forms when a neutral atom gains one or more electrons in its valence shell. Compounds composed of ions are called ionic compounds (or salts), and their constituent ions are held together by ionic bonds: electrostatic forces of attraction between oppositely charged cations and anions. 
49.6K

You might also read

Related Articles

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

Sort by
Same author

Genome-wide characterization and expression profiling of the NAC genes under abiotic stresses in Cucumis sativus.

Plant physiology and biochemistry : PPB·2017
Same author

Comparing performance of Bonfils fiberscope and GlideScope videolaryngoscope for awake intubation.

Journal of clinical anesthesia·2017
Same author

Use of dual priming oligonucleotide system-based multiplex RT-PCR combined with high performance liquid chromatography assay for simultaneous detection of five enteric viruses associated with acute enteritis.

Journal of virological methods·2017
Same author

Multichannel and Wide-Angle SAR Imaging Based on Compressed Sensing.

Sensors (Basel, Switzerland)·2017
Same author

Actein inhibits glioma growth via a mitochondria-mediated pathway.

Cancer biomarkers : section A of Disease markers·2017
Same author

MitoQ regulates autophagy by inducing a pseudo-mitochondrial membrane potential.

Autophagy·2017

Related Experiment Video

Updated: Feb 12, 2026

Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration
10:14

Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration

Published on: May 26, 2023

4.3K

Automatic localization of macular area based on structure label transfer.

Xiao-Xin Guo1,2, Qun Li2, Chao Sun2

  • 1Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Changchun130012, Jilin Province, China.

International Journal of Ophthalmology
|March 31, 2018
PubMed
Summary

A new method accurately locates the macula in fundus images by transferring structural labels, unaffected by lesions. This approach demonstrates high success rates and robustness, even in complex cases.

Keywords:
fundus imagemaculaoptic discstructure label transfer

More Related Videos

Measurement of Carotenoids in Perifovea using the Macular Pigment Reflectometer
09:35

Measurement of Carotenoids in Perifovea using the Macular Pigment Reflectometer

Published on: January 29, 2020

8.3K
Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.9K

Related Experiment Videos

Last Updated: Feb 12, 2026

Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration
10:14

Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration

Published on: May 26, 2023

4.3K
Measurement of Carotenoids in Perifovea using the Macular Pigment Reflectometer
09:35

Measurement of Carotenoids in Perifovea using the Macular Pigment Reflectometer

Published on: January 29, 2020

8.3K
Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.9K

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Computer Vision

Background:

  • Accurate macula localization is crucial for diagnosing and monitoring retinal diseases.
  • Traditional methods are often hindered by lesions or other interfering features in fundus images.

Purpose of the Study:

  • To develop and assess a novel, lesion-independent method for macula localization in fundus images.
  • To evaluate the feasibility and practicability of the proposed macula localization technique.

Main Methods:

  • A structure label transfer method was employed, matching processed images with known structures.
  • Macula localization was achieved by transferring a structure label from reference images.

Main Results:

  • The method achieved an average success rate of 98.18% across four datasets.
  • Average accuracy was high, with an error distance of 0.151 optic disc diameters (ODD).
  • Robust performance was observed even with severe lesions, maintaining high success (95.65%) and accuracy (0.124 ODD) on the STARE dataset.

Conclusions:

  • The proposed method effectively avoids lesion interference in macula localization.
  • High accuracy and robustness were demonstrated, confirming the feasibility of this novel approach.