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Related Concept Videos

Computed Tomography01:10

Computed Tomography

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...
Positron Emission Tomography01:29

Positron Emission Tomography

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 being...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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...
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.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

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Related Experiment Video

Updated: Jun 17, 2026

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

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Published on: August 16, 2012

High throughput transmission optical projection tomography using low cost graphics processing unit.

Claudio Vinegoni1, Lyuba Fexon, Paolo Fumene Feruglio

  • 1Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Boston, MA 02114, USA. cvinegoni@mgh.harvard.edu

Optics Express
|January 7, 2010
PubMed
Summary

Graphics processing units (GPUs) accelerate real-time data processing for high-throughput optical projection tomography imaging. This GPU implementation offers a 300x performance boost over CPU workstations, enabling on-the-fly image reconstructions.

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Area of Science:

  • Medical Imaging
  • Computational Science

Background:

  • High-throughput imaging requires efficient data processing.
  • Traditional CPU-based systems limit real-time reconstruction speeds.

Purpose of the Study:

  • To implement graphics processing unit (GPU) acceleration for real-time data processing in transmission optical projection tomography (TOPT).
  • To evaluate the performance enhancement achieved by GPU implementation for TOPT imaging.

Main Methods:

  • Utilized a GPU for parallel data processing.
  • Compared GPU performance against a conventional CPU workstation for TOPT data reconstruction.

Main Results:

  • Achieved a 300-fold performance enhancement using GPU acceleration.
  • Enabled on-the-fly image reconstructions for high-throughput TOPT.

Conclusions:

  • GPU implementation significantly accelerates TOPT data processing.
  • Real-time reconstruction capabilities are crucial for high-throughput imaging applications.