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

Electron Microscope Tomography and Single-particle Reconstruction

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...

Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.

You might also read

Related Articles

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

Sort by

Same author

Identification of small-molecule HSF1 amplifiers by high content screening in protection of cells from stress induced injury.

Biochemical and biophysical research communications·2009

Same author

Nanowire transformation by size-dependent cation exchange reactions.

Nano letters·2009

Same author

Effect of haishengsu as an adjunct therapy for patients with advanced renal cell cancer: a randomized and placebo-controlled clinical trial.

Journal of alternative and complementary medicine (New York, N.Y.)·2009

Same author

Identification of inhibitors of HSF1 functional activity by high-content target-based screening.

Journal of biomolecular screening·2009

Same author

Antitumor effects of targeting hTERT lentivirus-mediated RNA interference against KB cell lines.

Oncology research·2009

Same author

Characteristics of emissive spectrum and the removal of nitric oxide in N2/02/NO plasma with argon additive.

Journal of environmental sciences (China)·2009

Search research articles

Related Experiment Video

Updated: May 16, 2026

Hybrid µCT-FMT imaging and image analysis

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

A hybrid reconstruction algorithm for fluorescence tomography using Kirchhoff approximation and finite element

Xin Wang¹, Xu Cao, Bin Zhang

¹Department of Biomedical Engineering, Tsinghua University, Beijing, China.

Medical & Biological Engineering & Computing

|December 4, 2012

Summary

A new hybrid method improves fluorescence molecular tomography reconstruction accuracy and efficiency. Combining Kirchhoff approximation (KA) and finite element method (FEM) reduces computational time by 40-70% while enhancing results.

More Related Videos

Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging

Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging

Published on: June 2, 2009

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

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

Published on: July 17, 2012

Related Experiment Videos

Last Updated: May 16, 2026

Hybrid µCT-FMT imaging and image analysis

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging

Born Normalization for Fluorescence Optical Projection Tomography for Whole Heart Imaging

Published on: June 2, 2009

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

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

Published on: July 17, 2012

Area of Science:

Biomedical Imaging
Optical Imaging
Computational Science

Background:

Fluorescence molecular tomography (FMT) is a rapidly advancing imaging technique.
Current FMT reconstruction methods face challenges in balancing accuracy and computational efficiency.
Analytical methods offer speed, while numerical methods provide higher accuracy for complex geometries.

Purpose of the Study:

To develop a hybrid method for FMT reconstruction that enhances accuracy and computational efficiency.
To combine the strengths of analytical (Kirchhoff approximation) and numerical (finite element method) approaches.
To reduce the computational cost of high-accuracy FMT reconstructions.

Main Methods:

A hybrid reconstruction method integrating Kirchhoff approximation (KA) and finite element method (FEM) was developed.
The hybrid method was evaluated using numerical simulations.
Phantom experiments were conducted to validate the method's practical applicability.

Main Results:

Numerical simulations demonstrated improved reconstruction accuracy with the hybrid method.
The hybrid approach reduced computational time by 40-70% compared to standalone KA and FEM methods.
Phantom experiments confirmed the feasibility of the hybrid method for real-world applications.

Conclusions:

The proposed hybrid KA-FEM method offers a superior balance of accuracy and efficiency for fluorescence molecular tomography.
This approach addresses key limitations in current FMT reconstruction techniques.
The findings support the clinical potential of this optimized FMT reconstruction strategy.