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

Limiting Reactant02:27

Limiting Reactant

70.0K
The relative amounts of reactants and products represented in a balanced chemical equation are often referred to as stoichiometric amounts. However, in reality, the reactants are not always present in the stoichiometric amounts indicated by the balanced equation.
70.0K
Vision01:24

Vision

60.0K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
60.0K
Color Vision01:24

Color Vision

1.5K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.5K
The Number e as a Limit01:29

The Number e as a Limit

85
The number e is a fundamental constant in calculus, playing a central role in describing continuous change, particularly exponential growth. It is most naturally defined through its relationship with the natural logarithm, which is the inverse of the exponential function with base e. This relationship allows e to be characterized using basic principles of differentiation rather than as an arbitrary numerical constant.A key property of the natural logarithm function, ln x, is that its derivative...
85
Types of Limits I01:23

Types of Limits I

185
Limits are a key mathematical concept for understanding how functions behave as their input approaches specific values, particularly when the function is undefined. They help reveal trends and discontinuities by examining the values a function approaches rather than its actual value.One-sided limits focus on the direction from which a value is approached. When a function behaves differently depending on whether the input approaches from the left or the right, the two one-sided limits may not...
185
Limit Laws I01:25

Limit Laws I

225
Limit laws provide essential tools for analyzing how functions behave as their input approaches a specific value. These laws are particularly useful when dealing with combinations of functions, provided the individual limits exist. The Sum and Difference Laws state that the limit of the sum or difference of two functions equals the sum or difference of their respective limits:The Product Law asserts that the limit of the product of two functions equals the product of their individual limits:A...
225

You might also read

Related Articles

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

Sort by
Same author

Qualitative and Quantitative Assessment of Vitreous Inflammation in Uveitis: Current Limitations and Emerging Diagnostic Approaches.

Diagnostics (Basel, Switzerland)·2026
Same author

Accuracy of Intraocular Lens Power Calculation in Cataract Surgery Combined with Trabeculectomy in Open Angle Glaucoma.

Journal of clinical medicine·2026
Same author

A theoretical and experimental model of flow characteristics in subretinal injections.

PloS one·2026
Same author

Post-vitrectomy Macular Edema: Shedding Light on Incidence and Risk Factors.

Ophthalmology and therapy·2026
Same author

Anatomical and Systemic Predictors of Early Response to Subthreshold Micropulse Laser in Diabetic Macular Edema: A Retrospective Cohort Study.

Journal of clinical medicine·2026
Same author

Retinal pigment epithelial disruption after retinal detachment repair using perfluorocarbon liquid and gas tamponade: a case series.

American journal of ophthalmology case reports·2026
Same journal

Distinguish polypoidal choroidal vasculopathy through choroidal alterations: A systematic review, meta-analysis and narrative synthesis.

Acta ophthalmologica·2026
Same journal

Ocular blood flow and retinal oxygen saturation measurements in central retinal artery occlusion.

Acta ophthalmologica·2026
Same journal

Retinal dystrophies simulating geographic atrophy: A diagnostic challenge.

Acta ophthalmologica·2026
Same journal

Radial outer retina reflectivity (RORR) sign in LAMP2-associated retinopathy.

Acta ophthalmologica·2026
Same journal

Deep learning in glaucoma referral: Performance assessment using a real-world setting.

Acta ophthalmologica·2026
Same journal

Clinical manifestations of dual-gene variants in retinitis pigmentosa.

Acta ophthalmologica·2026
See all related articles

Related Experiment Video

Updated: Jan 31, 2026

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

10.2K

Human/robotic interaction: vision limits performance in simulated vitreoretinal surgery.

Marc D de Smet1,2, Nicky de Jonge2, Danilo Iannetta3,4

  • 1Microinvasive Ocular Surgery Center (MIOS sa), Lausanne, Switzerland.

Acta Ophthalmologica
|December 28, 2018
PubMed
Summary
This summary is machine-generated.

Robotic assistance significantly improves surgical precision and accuracy, especially for less experienced surgeons in depth movements. Optimizing visualization is key to maximizing robotic benefits in vitreoretinal surgery.

Keywords:
accuracydepth perceptionprecisionroboticssimulationtelemanipulationvitreoretinal surgery

More Related Videos

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

442
Robotics in Surgery: A Modular Robotic Platform Driven Gastric Wedge Resection
07:27

Robotics in Surgery: A Modular Robotic Platform Driven Gastric Wedge Resection

Published on: February 7, 2025

1.1K

Related Experiment Videos

Last Updated: Jan 31, 2026

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

10.2K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

442
Robotics in Surgery: A Modular Robotic Platform Driven Gastric Wedge Resection
07:27

Robotics in Surgery: A Modular Robotic Platform Driven Gastric Wedge Resection

Published on: February 7, 2025

1.1K

Area of Science:

  • Ophthalmology
  • Robotic Surgery
  • Surgical Simulation

Background:

  • Vitreoretinal surgery demands high precision and accuracy.
  • Minimally invasive techniques and advanced tools are crucial for complex procedures.
  • Robotic assistance offers potential to enhance surgical performance.

Purpose of the Study:

  • To compare the accuracy and precision of surgical tasks performed with and without robotic assistance.
  • To evaluate the impact of visualization methods (microscope vs. video monitor) on surgical performance.
  • To assess the influence of surgeon experience on robotic-assisted surgical outcomes.

Main Methods:

  • Two experienced and two novice surgeons performed simulated vitreoretinal tasks (tracking, static).
  • Tasks were executed using hand-held instruments on a robotic system with either microscope or video display visualization.
  • Accuracy and precision were quantified by measuring instrument tip deviation from targets in XYZ coordinates.

Main Results:

  • Robotic assistance significantly improved precision and accuracy in Z (depth) movements for all surgeons.
  • Surgeon experience positively impacted Z-axis precision and dynamic accuracy under microscope visualization.
  • Video display combined with robotic assistance enhanced all performance metrics and reduced experience-related differences.

Conclusions:

  • Robotic systems enhance surgical precision and accuracy, particularly benefiting less experienced surgeons.
  • Visualization quality, especially in depth, remains a critical factor limiting robotic performance.
  • Optimizing visualization is essential to fully leverage the potential of robotic assistance in surgery.