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

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Retarders01:19

Retarders

Retarders are chemical admixtures designed to extend the setting time, which is especially useful when there is a delay in sequential concrete pours to prevent cold joints and to achieve a cohesive structure. Retarders, when used in appropriate amounts, can also enhance the architectural appearance of exposed aggregate finishes.
The function of retarders is to delay the setting of concrete, and this effect can be measured using a penetration test. The retardation process involves adding...
Modeling in Therapy01:26

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...

You might also read

Related Articles

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

Sort by
Same author

The Novel Carbapenem, JDB/PQ-1-219, Has Potent Broad Spectrum Activity against Multi-Drug Resistant <i>Acinetobacter baumannii</i>.

ACS infectious diseases·2026
Same author

Reply to: Comment on: Investigating Biomarkers for Inborn Errors of Immunity in a Prospective Study of Patients With Autoimmune Cytopenia.

Pediatric blood & cancer·2026
Same author

Risk to plant health of Flavescence dorée for the EU territory.

EFSA journal. European Food Safety Authority·2026
Same author

Referral for glaucoma surgery and types of surgery in different European regions in 2025, the EURACCUR study.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie·2026
Same author

Investigating Biomarkers for Inborn Errors of Immunity in a Prospective Study of Patients With Autoimmune Cytopenia.

Pediatric blood & cancer·2026
Same author

Distinct transcriptional and epigenomic programs define Hofbauer cells in term placenta.

JCI insight·2025

Related Experiment Video

Updated: Jul 4, 2026

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats
09:12

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats

Published on: March 17, 2019

Atypical retardation pattern: can performance of classification be improved?

Pinakin Gunvant1, Yufeng Zheng, Márta Tóth

  • 1Department of Research, Southern College of Optometry, Memphis, Tennessee 38104-2222, USA. contact@pinakin-gunvant.com

Optometry and Vision Science : Official Publication of the American Academy of Optometry
|June 4, 2008
PubMed
Summary
This summary is machine-generated.

Wavelet-Fourier analysis (WFA) and Fast-Fourier analysis (FFA) showed higher classification performance than standard GDx-VCC for glaucoma detection in atypical retardation patterns. While not statistically significant, these shape-based analyses offer promising results for identifying glaucomatous eyes.

More Related Videos

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
07:31

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Related Experiment Videos

Last Updated: Jul 4, 2026

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats
09:12

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats

Published on: March 17, 2019

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
07:31

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Glaucoma Diagnostics

Background:

  • Glaucoma diagnosis relies on detecting retinal nerve fiber layer (RNFL) damage.
  • Atypical retardation patterns (ARP) present diagnostic challenges for standard methods.
  • Evaluating advanced analytical techniques is crucial for improving glaucoma detection.

Purpose of the Study:

  • Compare Wavelet-Fourier analysis (WFA), Fast-Fourier analysis (FFA), and GDx-VCC for classifying glaucomatous eyes with ARP.
  • Assess the impact of using only superior and inferior quadrants on WFA and FFA performance.
  • Evaluate classification performance based on the severity of ARP.

Main Methods:

  • RNFL estimates from 445 eyes (240 individuals) were analyzed.
  • Classifiers (WFA, FFA) were trained and tested on typical retardation pattern (TRP) and ARP datasets using 10-fold cross-validation.
  • Sensitivity, specificity, and Receiver Operating Characteristic (ROC) areas were calculated and compared to GDx-VCC parameters.

Main Results:

  • The nerve fiber indicator (NFI) from GDx-VCC had an ROC area of 0.80.
  • WFA and FFA demonstrated higher ROC areas (0.85 and 0.82, respectively) compared to NFI.
  • In moderate ARP, WFA and FFA showed superior ROC areas over NFI, though differences were not statistically significant (p=0.07).

Conclusions:

  • WFA and FFA exhibited greater classification performance than NFI in identifying glaucomatous eyes with ARP.
  • The observed differences in ROC areas between WFA/FFA and NFI did not reach statistical significance.
  • Shape-based analyses like WFA and FFA show potential for improved glaucoma detection, particularly in cases with atypical RNFL patterns.