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

Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.9K
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...
2.9K
Diffusion01:12

Diffusion

218.5K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
218.5K
Diffusion01:21

Diffusion

6.4K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.4K
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

409
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
409
Propagation of Waves01:07

Propagation of Waves

3.0K
When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
3.0K

You might also read

Related Articles

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

Sort by
Same author

PIANet: a parallel interactive attention network for multi-channel PSG-based sleep staging.

Biomedical physics & engineering express·2026
Same author

Latent diffusion-based image reconstruction for near-infrared spectral tomography.

Biomedical optics express·2026
Same author

Field‑Programmable Biofunctional Films: From Assisted Fabrication to Integrated Diagnostic-Therapeutic Devices.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Catastrophic shifts in large lake levels.

Fundamental research·2026
Same author

Multiscale local sparsity and prior learning algorithm for Cherenkov-excited luminescence scanned tomography reconstruction.

Applied optics·2025
Same author

Continuous noninvasive blood pressure estimation using tissue blood flow measured by diffuse correlation spectroscopy.

APL bioengineering·2025
Same journal

Method of spatial scanning of modulated laser radiation for outline imaging of interphalangeal joints.

Journal of biomedical optics·2026
Same journal

Multimodal optical imaging for the assessment of the teratogenic effects of ethanol on zebrafish development.

Journal of biomedical optics·2026
Same journal

Fluorescence properties of collagen types I-V: a comprehensive study of spectral and lifetime characteristics.

Journal of biomedical optics·2026
Same journal

Spectral dependence of lipofuscin fluorescence lifetimes revealed by FLIM with a superconducting nanowire single-photon detector.

Journal of biomedical optics·2026
Same journal

Building the future of biophotonics through experiential education and seasonal schools.

Journal of biomedical optics·2026
Same journal

Time-of-flight fluorescence depth mapping using a spatiotemporal deep learning model.

Journal of biomedical optics·2026
See all related articles

Related Experiment Video

Updated: Jan 31, 2026

Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging
16:44

Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging

Published on: June 2, 2009

10.8K

Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography.

Jinchao Feng1,2, Qiuwan Sun1, Zhe Li1,2

  • 1Beijing Univ. of Technology, China.

Journal of Biomedical Optics
|December 21, 2018
PubMed
Summary
This summary is machine-generated.

A new noniterative method using a back-propagation neural network (BPNN) improves diffuse optical tomography (DOT) image reconstruction. This approach enhances image quality and quantitative accuracy compared to traditional Tikhonov regularization.

Keywords:
back-propagation neural networkdiffuse optical tomographyimage reconstruction, inverse problem

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

12.9K
Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

4.3K

Related Experiment Videos

Last Updated: Jan 31, 2026

Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging
16:44

Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging

Published on: June 2, 2009

10.8K
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

12.9K
Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

4.3K

Area of Science:

  • Biomedical optics
  • Medical imaging
  • Computational imaging

Background:

  • Diffuse optical tomography (DOT) offers noninvasive functional imaging of biological tissues.
  • DOT image reconstruction is challenging due to light scattering and limited measurements, often resulting in low-quality images with artifacts using Tikhonov regularization.

Purpose of the Study:

  • To develop a novel noniterative method for diffuse optical tomography (DOT) image reconstruction.
  • To improve the quality and quantitative accuracy of reconstructed optical properties in DOT.

Main Methods:

  • A noniterative reconstruction method based on a back-propagation neural network (BPNN) was developed.
  • BPNN parameters were trained using a dataset prior to image reconstruction.
  • DOT image reconstruction was performed via a single evaluation of the trained BPNN.

Main Results:

  • The proposed BPNN method significantly improved image quality compared to conventional Tikhonov regularization.
  • Quantitative accuracy of reconstructed optical properties was substantially enhanced.
  • The noniterative approach demonstrated superior performance in DOT image reconstruction.

Conclusions:

  • The developed back-propagation neural network (BPNN) method offers a promising alternative for diffuse optical tomography (DOT) image reconstruction.
  • This novel approach overcomes limitations of traditional methods, yielding higher quality and more accurate results.
  • The noniterative BPNN strategy represents a significant advancement in DOT imaging.