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

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.
Computed Tomography01:10

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 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...
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

You might also read

Related Articles

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

Sort by
Same author

Evaluation of human body malodor using functional near-infrared spectroscopy with regions of interest based on functional pathways in the olfactory system.

Frontiers in neuroscience·2026
Same author

Evaluation of shape recovery algorithm for translucent objects.

Scientific reports·2026
Same author

Suppression of information spreading in MEG source estimation using a functionally-structured Bayesian approach.

NeuroImage·2026
Same author

Inferring relationships among major psychiatric disorders in a resting-state functional connectivity-informed embedding space.

NPJ systems biology and applications·2026
Same author

Channel gain calibrated signal space projection using variational Bayesian estimation for optically pumped magnetometers.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Extraction of robust functional connectivity patterns across psychiatric disorders using principal component analysis-based feature selection.

Imaging neuroscience (Cambridge, Mass.)·2026

Related Experiment Video

Updated: May 18, 2026

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales
09:56

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Published on: August 21, 2019

Hierarchical Bayesian estimation improves depth accuracy and spatial resolution of diffuse optical tomography.

Takeaki Shimokawa1, Takashi Kosaka, Okito Yamashita

  • 1ATR Neural Information Analysis Laboratories, Kyoto 619-0288, Japan. shimokawa@atr.jp

Optics Express
|October 6, 2012
PubMed
Summary
This summary is machine-generated.

High-density diffuse optical tomography (HD-DOT) improves 3D tissue imaging. The new method enhances spatial resolution, enabling discrimination of closely spaced absorbers even at different depths.

More Related Videos

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
13:43

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

Related Experiment Videos

Last Updated: May 18, 2026

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales
09:56

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Published on: August 21, 2019

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
12:24

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
13:43

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

Area of Science:

  • Biomedical optics
  • Medical imaging
  • Optical tomography

Background:

  • High-density diffuse optical tomography (HD-DOT) visualizes internal biological tissues using reflectance-only measurements.
  • Accurate 3D reconstruction in HD-DOT is challenging due to depth-localization errors and blurred imaging from light diffusion.

Purpose of the Study:

  • To develop a novel 3D reconstruction method for HD-DOT that addresses depth-localization errors and image blurring.
  • To improve the spatial resolution and discrimination capabilities of HD-DOT.

Main Methods:

  • Proposed a 3D reconstruction method incorporating sensitivity-normalized regularization and sparsity within a hierarchical Bayesian framework.
  • Validated the method using phantom experiments with varying probe intervals (26 mm, 18.4 mm, 13 mm).

Main Results:

  • The proposed method successfully overcame depth-localization errors and image blurring.
  • Two closely spaced absorbers, even at different depths, were discriminated when the probe interval was 18.4 mm or 13 mm.
  • Demonstrated high spatial resolution in both depth and horizontal directions.

Conclusions:

  • The novel HD-DOT reconstruction method significantly enhances imaging accuracy and spatial resolution.
  • High-density probe configurations enable superior discrimination of subsurface structures.
  • This technique holds promise for advanced biological tissue visualization.