Related Experiment Video

Updated: Jul 16, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)
12:22

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Published on: August 4, 2018

Optical splitting trees for high-precision monocular imaging

Morgan Mcguire1, Wojciech Matusik, Hanspeter Pfister

  • 1Williams College, USA. morgan@cs.williams.edu

IEEE Computer Graphics and Applications
|March 29, 2007
PubMed

Abstract:

The authors present a design framework and optimizer for computational systems containing many sensors on a common optical axis.

More Related Videos

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures
08:01

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures

Published on: November 21, 2019

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

Related Experiment Videos

Last Updated: Jul 16, 2026

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)
12:22

Multimodal Volumetric Retinal Imaging by Oblique Scanning Laser Ophthalmoscopy (oSLO) and Optical Coherence Tomography (OCT)

Published on: August 4, 2018

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures
08:01

Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures

Published on: November 21, 2019

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry
12:14

The Generation of Higher-order Laguerre-Gauss Optical Beams for High-precision Interferometry

Published on: August 12, 2013

Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

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

Clocks and Dominoes: Timing Mechanisms of Embryogenesis.

bioRxiv : the preprint server for biology·2026

Task-Specific Directions: Definition, Exploration, and Utilization in Parameter Efficient Fine-Tuning.

IEEE transactions on pattern analysis and machine intelligence·2026

SmartEM: machine learning-guided electron microscopy.

Nature methods·2025

SynAnno: Interactive Guided Proofreading of Synaptic Annotations.

IEEE transactions on visualization and computer graphics·2025

SEAL: Spatially-resolved Embedding Analysis with Linked Imaging Data.

IEEE transactions on visualization and computer graphics·2025

EmbryoProfiler: A Visual Clinical Decision Support System for IVF.

IEEE transactions on visualization and computer graphics·2025

Disentangle-and-Diffuse: Structure-Aware Modeling with Diffusion-Based Generation.

IEEE computer graphics and applications·2026

Interactive Adjustment of Agent-Based Cooperative Tasks Driven by Multi-View Collaboration.

IEEE computer graphics and applications·2026

Context-Driven Narrative Visualizations for "Big Data" Applications in Medical Biology.

IEEE computer graphics and applications·2026

Sound Science: Audifying the Sun.

IEEE computer graphics and applications·2026

Challenges and Opportunities for Theory-Grounded Data Visualization in Extended Reality.

IEEE computer graphics and applications·2026

Providing Privacy for Eye-Tracking Data With Applications in XR.

IEEE computer graphics and applications·2026

MVM-UNet: multi branch convolutional vision Mamba UNet for medical image segmentation.

Biomedical engineering letters·2026

Cfdd-net: a novel comprehensive featured-dual decoding network for melanoma segmentation in dermoscopic images.

Biomedical engineering letters·2026

Cedalion tutorial: a Python-based framework for comprehensive analysis of multimodal fNIRS and DOT from the lab to the everyday world.

Neurophotonics·2026

Integrated holographic vector matrix multipliers.

Optics express·2026

AQF-Net: Adaptive query modeling and efficient feature fusion for UAV tiny-object detection.

PloS one·2026

CoMS-UNet: A Cohesive Multi-Scale Network for Semantic Reorganization and Scale-Aware Context Modeling in Remote Sensing Image Segmentation.

Sensors (Basel, Switzerland)·2026
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
Jove
Visualize
Contact Us