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

2.4K
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...
2.4K

You might also read

Related Articles

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

Sort by
Same author

Correction: Inhibition of Ferroptosis Alleviates Early Brain Injury After Subarachnoid Hemorrhage In Vitro and In Vivo via Reduction of Lipid Peroxidation.

Cellular and molecular neurobiology·2026
Same author

Correction: Docosahexaenoic Acid Alleviates Oxidative Stress-Based Apoptosis Via Improving Mitochondrial Dynamics in Early Brain Injury After Subarachnoid Hemorrhage.

Cellular and molecular neurobiology·2025
Same author

Semantic redundancy-aware implicit neural compression for multidimensional biomedical image data.

Communications biology·2024
Same author

Self-supervised next view prediction for limited-angle optical projection tomography.

Biomedical optics express·2023
Same author

A CCD based machine vision system for real-time text detection.

Frontiers of optoelectronics·2023
Same author

Metformin attenuates early brain injury after subarachnoid hemorrhage in rats via AMPK-dependent mitophagy.

Experimental neurology·2022

Related Experiment Video

Updated: Jul 2, 2025

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.8K

Optical projection tomography reconstruction with few views using highly-generalizable deep learning at sinogram

Jiahao Sun1, Fang Zhao1, Lanxin Zhu1

  • 1School of Optical and Electronic Information-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.

Biomedical Optics Express
|February 29, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces SinNet, a deep learning method for optical projection tomography (OPT) reconstruction. SinNet significantly improves image quality with fewer views, overcoming limitations of traditional methods.

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K
Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

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

Published on: August 16, 2012

11.5K

Related Experiment Videos

Last Updated: Jul 2, 2025

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

8.8K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

2.7K
Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

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

Published on: August 16, 2012

11.5K

Area of Science:

  • Biomedical imaging
  • Medical physics
  • Computational imaging

Background:

  • Optical projection tomography (OPT) enables detailed 3D imaging of biological samples.
  • Reducing measured views in OPT can lower radiation dose and improve temporal resolution.
  • Conventional reconstruction algorithms struggle with image quality degradation (e.g., artifacts) at low view counts.

Purpose of the Study:

  • To develop a robust deep learning-based reconstruction method for OPT using a minimal number of views.
  • To evaluate domain complexity for improved tomographic reconstruction.
  • To enhance the performance and generalization ability of OPT image reconstruction.

Main Methods:

  • Introduced a novel domain evaluation method to assess sinogram vs. spatial domain complexity.
  • Developed a feedback-based data initialization method operating in the sinogram domain.
  • Implemented a deep learning approach, termed SinNet, for robust OPT reconstruction.

Main Results:

  • Validated that the sinogram domain exhibits lower complexity than the spatial domain.
  • SinNet demonstrated robust generalization across diverse biological samples with only 4 views.
  • Achieved superior performance compared to conventional OPT reconstruction, evidenced by higher PSNR and SSIM metrics.

Conclusions:

  • SinNet offers a significant advancement for low-view OPT reconstruction.
  • The method effectively mitigates artifacts and improves image quality.
  • This approach has strong potential to augment and expand the applicability of OPT techniques in biomedical research.