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Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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Electron Microscope Tomography and Single-particle Reconstruction01:07

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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.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
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Positron Emission Tomography01:29

Positron Emission Tomography

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Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Total Internal Reflection Fluorescence Microscopy01:05

Total Internal Reflection Fluorescence Microscopy

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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.
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Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
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Related Experiment Video

Updated: Apr 20, 2026

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

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Self-guided quantum tomography.

Christopher Ferrie1

  • 1Center for Quantum Information and Control, University of New Mexico, Albuquerque, New Mexico 87131-0001, USA.

Physical Review Letters
|November 22, 2014
PubMed
Summary
This summary is machine-generated.

We developed a self-guided quantum tomography method that uses experiments to learn the quantum state. This iterative approach is more efficient and robust than traditional state estimation techniques.

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Area of Science:

  • Quantum information science
  • Quantum computing
  • Experimental physics

Background:

  • Quantum state tomography is crucial for characterizing quantum systems.
  • Traditional methods often require extensive data and complex post-processing.
  • Estimating the state of multi-qubit systems presents significant challenges.

Purpose of the Study:

  • To introduce a novel, self-learning quantum tomography technique.
  • To develop an iterative algorithm that guides the experiment towards state estimation.
  • To demonstrate the efficiency and robustness of this new method.

Main Methods:

  • A self-guided quantum tomography algorithm was developed.
  • The technique uses iterative measurements to test hypotheses about the quantum state.
  • Simulations were performed on multi-qubit systems.

Main Results:

  • The self-guided quantum tomography method converges to the true quantum state.
  • Simulations show improved efficiency compared to traditional methods.
  • The technique demonstrates enhanced robustness in state estimation.

Conclusions:

  • Self-guided quantum tomography offers a more efficient and robust alternative for state estimation.
  • This approach simplifies the process by integrating data acquisition and analysis.
  • It holds promise for advancing quantum information processing and characterization.