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

Total Internal Reflection Fluorescence Microscopy

Total Internal Reflection Fluorescence Microscopy

Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.

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 13, 2026

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

An adaptive Tikhonov regularization method for fluorescence molecular tomography.

Xu Cao¹, Bin Zhang, Xin Wang

¹Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China.

Medical & Biological Engineering & Computing

|March 19, 2013

Summary

This study introduces an adaptive Tikhonov regularization (ATR) method to improve fluorescence molecular tomography (FMT) reconstruction. ATR enhances spatial resolution and reduces noise in FMT imaging without prior information.

More Related Videos

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

Related Experiment Videos

Last Updated: May 13, 2026

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

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

Area of Science:

Biomedical Imaging
Medical Physics
Optical Engineering

Background:

Fluorescence molecular tomography (FMT) reconstruction is an ill-posed problem due to photon absorption and scattering in biological tissues.
Standard Tikhonov regularization (TR) improves FMT solutions but results in low resolution.
Fixed regularization parameters in TR lead to trade-offs between resolution and noise reduction.

Purpose of the Study:

To develop an adaptive Tikhonov regularization (ATR) method for improved FMT reconstruction.
To enhance spatial resolution and reduce noise in FMT imaging simultaneously.
To overcome limitations of fixed regularization parameters in traditional TR methods.

Main Methods:

An adaptive Tikhonov regularization (ATR) method was developed.
Spatially varying regularization parameters were adaptively updated during iteration.
The ATR method penalized solutions based on spatial characteristics, sharpening probe regions and smoothing background.

Main Results:

Phantom experiments validated the feasibility of the ATR method.
The ATR method successfully improved spatial resolution in FMT reconstruction.
Simultaneous noise reduction was achieved in the reconstructed FMT images.

Conclusions:

The proposed adaptive Tikhonov regularization (ATR) method significantly enhances fluorescence molecular tomography (FMT) reconstruction.
ATR offers a superior approach to balancing spatial resolution and noise suppression in FMT.
This method provides a valuable tool for more accurate molecular imaging in biological tissues.