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Electron Microscope Tomography and Single-particle Reconstruction01:07

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.
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Updated: Jun 7, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
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PRECISION: A Physics-Constrained and Noise-Controlled Diffusion Model for Photon Counting Computed Tomography.

Ruifeng Chen, Zhongliang Zhang, Guotao Quan

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    |August 8, 2024
    PubMed
    Summary
    This summary is machine-generated.

    A new method called PRECISION enhances material basis images in photon counting CT (PCCT) by learning image features. This improves elemental composition accuracy, especially at lower radiation doses.

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    Area of Science:

    • Medical Imaging
    • Computational Physics

    Background:

    • Photon counting computed tomography (PCCT) offers advanced imaging capabilities.
    • Improving material basis image quality and elemental composition accuracy is crucial, especially at low radiation doses.

    Purpose of the Study:

    • To develop a novel method, PRECISION, to enhance material basis images in PCCT.
    • To address limitations of existing methods in noise modeling and regularization for material basis imaging.

    Main Methods:

    • Developed a physics-constrained and noise-controlled diffusion model (PRECISION).
    • PRECISION learns distribution-level regularization for ideal material basis images.
    • Optimal images are sampled from a learned distribution, constrained by PCCT physics and measured data.

    Main Results:

    • PRECISION demonstrates potential for improved material basis image quality.
    • Enhanced quantitative accuracy of elemental composition in PCCT.
    • Effective in overcoming challenges from imperfect noise models and hand-crafted regularization.

    Conclusions:

    • PRECISION offers a promising approach for advanced material basis imaging in PCCT.
    • The method shows potential for more accurate elemental quantification, particularly under dose-reduced protocols.