Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Computed Tomography01:10

Computed Tomography

7.6K
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...
7.6K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.0K
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...
2.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Low-Cost Source Measure Unit (SMU) to Characterize Sensors Built on Graphene-Channel Field-Effect Transistors.

Sensors (Basel, Switzerland)·2024
Same author

Alternating-Current Microgrid Testbed Built with Low-Cost Modular Hardware.

Sensors (Basel, Switzerland)·2023
Same author

Calcium Oscillation Frequency Is a Potential Functional Complex Physiological Relevance Indicator for a Neuroblastoma-Based 3D Culture Model.

ACS biomaterials science & engineering·2021
Same author

Ratiometric Nanoviscometers: Applications for Measuring Cellular Physical Properties in 3D Cultures.

SLAS technology·2020
Same author

Enhanced dynamic range x-ray imaging.

Computers in biology and medicine·2017
Same author

Ratiometric mechanosensitive fluorescent dyes: Design and applications.

Journal of materials chemistry. C·2016

Related Experiment Video

Updated: May 1, 2026

3D Printing of Preclinical X-ray Computed Tomographic Data Sets
11:06

3D Printing of Preclinical X-ray Computed Tomographic Data Sets

Published on: March 22, 2013

41.0K

Building a 3D Computed Tomography Scanner From Surplus Parts.

Mark A Haidekker

    Biomedical Instrumentation & Technology
    |April 10, 2014
    PubMed
    Summary

    Building a low-cost computed tomography (CT) scanner from surplus parts is feasible and surprisingly easy. This cost-effective CT scanner offers comparable image quality for biological and biomedical research.

    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Physics

    Background:

    • Computed tomography (CT) scanners are advanced imaging devices with high acquisition costs, limiting accessibility for smaller research institutions.
    • Modular component-based CT scanner construction is possible but often hampered by the expense of specialized X-ray sources and detectors.

    Purpose of the Study:

    • To demonstrate the feasibility of constructing a functional CT scanner using readily available surplus X-ray components.
    • To assess the cost-effectiveness and image quality of a self-built CT scanner compared to commercial systems.
    • To explore the potential of low-cost CT scanners for research applications in biological and biomedical sciences.

    Main Methods:

    • A CT scanner was designed and assembled using modular components, prioritizing the use of surplus X-ray parts to minimize costs.

    More Related Videos

    Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing
    11:45

    Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing

    Published on: August 17, 2022

    2.0K
    Three-Dimensional Printing of a Complex Aortic Anomaly
    03:40

    Three-Dimensional Printing of a Complex Aortic Anomaly

    Published on: November 1, 2018

    5.9K

    Related Experiment Videos

    Last Updated: May 1, 2026

    3D Printing of Preclinical X-ray Computed Tomographic Data Sets
    11:06

    3D Printing of Preclinical X-ray Computed Tomographic Data Sets

    Published on: March 22, 2013

    41.0K
    Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing
    11:45

    Creation of a High-Fidelity, Low-Cost, Intraosseous Line Placement Task Trainer via 3D Printing

    Published on: August 17, 2022

    2.0K
    Three-Dimensional Printing of a Complex Aortic Anomaly
    03:40

    Three-Dimensional Printing of a Complex Aortic Anomaly

    Published on: November 1, 2018

    5.9K
  • The performance and image quality of the constructed CT scanner were evaluated and compared against established commercial devices.
  • Cost analysis was performed to determine the overall financial investment for the custom-built system.

    • Main Results:

    • A practical CT scanner was successfully built for under $16,000 by utilizing surplus X-ray equipment.
    • The image quality achieved by the low-cost CT scanner was found to be comparable to that of commercial CT systems.
    • Limitations include slower scan speeds and a resolution of 0.5 mm, attributed to design constraints imposed by the selected components.

    Conclusions:

    • Constructing a functional CT scanner from modular and surplus components is achievable and cost-effective, making advanced imaging more accessible for research.
    • Despite inherent limitations in speed and resolution, this approach offers a viable solution for imaging studies in biological and biomedical fields.
    • Further development in CT technology can be advanced through the exploration and utilization of affordable, custom-built systems.