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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.
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Related Experiment Video

Updated: Dec 27, 2025

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

Fast and robust reconstruction algorithm for fluorescence diffuse optical tomography assuming a cuboid target.

Chunlong Sun, Gen Nakamura, Goro Nishimura

Journal of the Optical Society of America. A, Optics, Image Science, and Vision

|March 3, 2020

Summary

This summary is machine-generated.

A new, fast algorithm accurately locates fluorescent targets using diffuse optical tomography. This method is reliable, even with uncertain initial conditions, and works for biological imaging.

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Last Updated: Dec 27, 2025

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

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Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

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Published on: June 24, 2013

Area of Science:

Biomedical optics
Medical imaging
Fluorescence imaging

Background:

Diffuse optical tomography (DOT) is a non-invasive imaging technique.
Accurate localization of fluorescent targets is crucial for various biomedical applications.
Existing algorithms may be sensitive to initial parameter estimations.

Purpose of the Study:

To develop and validate a fast and robust algorithm for fluorescence diffuse optical tomography.
To accurately reconstruct the position of a fluorescent target using a cuboid model.
To investigate the long-time behavior of emission light in diffuse optical tomography.

Main Methods:

A novel numerical algorithm for fluorescence diffuse optical tomography was developed.
The algorithm assumes a cuboid shape for the fluorophore target.
Numerical and experimental (meat phantom) validations were performed using time-domain measurements.

Main Results:

The proposed algorithm demonstrated robustness against variations in initial guesses.
Accurate reconstruction of the fluorescent target's position was achieved.
The long-time behavior of emission light was analyzed using the diffusion equation's analytical solution.

Conclusions:

The developed algorithm offers a fast and reliable method for fluorescence diffuse optical tomography.
The cuboid model assumption is effective for target localization.
The study provides insights into light propagation dynamics in diffuse optical tomography.