Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

Imaging Biological Samples with Optical Microscopy

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...

You might also read

Related Articles

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

Sort by

Same author

Deployment Prior Injection for Run-Time Re-Biasable Object Detection.

IEEE transactions on pattern analysis and machine intelligence·2026

Same author

Evaluation of UNeXt for Automatic Bone Surface Segmentation on Ultrasound Imaging in Image-Guided Pediatric Surgery.

Bioengineering (Basel, Switzerland)·2025

Same author

Evaluating the generalizability of video-based assessment of intraoperative surgical skill in capsulorhexis.

International journal of computer assisted radiology and surgery·2025

Same author

Land Resources for Wind Energy Development Requires Regionalized Characterizations.

Environmental science & technology·2024

Same author

ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer.

IEEE transactions on medical imaging·2023

Same author

Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI.

NPJ digital medicine·2023

Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026

Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026

Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026

Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026

Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026

Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 8, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Computational LADAR imaging.

Arthita Ghosh, Michael A Powers, Vishal M Patel

|February 4, 2017

Summary

This summary is machine-generated.

This study introduces novel LADAR (laser radar, LIDAR) sampling methods to reduce power consumption and laser emissions. These techniques offer significant energy savings for autonomous systems with power limitations.

More Related Videos

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Related Experiment Videos

Last Updated: Mar 8, 2026

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Area of Science:

Optics and Photonics
Computer Vision
Sensor Technology

Background:

Traditional LADAR systems rely on pixel-basis sampling, leading to high power consumption and laser emissions.
Limitations in size, weight, and power (SWaP) are critical for sensor platforms, especially autonomous systems.

Purpose of the Study:

To investigate alternative sampling and post-detection processing schemes for LADAR imaging.
To reduce system power consumption and laser emissions in LADAR sensors.
To develop computational imaging algorithms for enhanced object identification and speckle reduction.

Main Methods:

Development of a prototype LADAR sensor capable of arbitrary illumination beam patterns.
Implementation of computational imaging algorithms for processing measurements in compressed bases.
Examination of alternative sampling schemes beyond traditional pixel-basis approaches.

Main Results:

Demonstration of LADAR imaging using non-pixel-basis sampling.
Significant energy savings achieved through the proposed methods.
Effective speckle reduction and scene object identification in a low-dimensional compressed basis.

Conclusions:

Alternative LADAR sampling and processing schemes offer substantial energy savings.
These techniques are particularly valuable for power-constrained autonomous systems.
The developed methods enable efficient data processing without requiring human interpretation.