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Forsyth Micro Computed Tomography

Location: The Forsyth Institute, 245 First Street, Cambridge, MA, 02142

Summary:

The Forsyth Micro Computed Tomography (μCT) Core offers micro 3D X-ray imaging of small samples in high resolution, and will provide images and quantitative analyses of internal structures of ex vivo samples without any destructive procedures. The Scanco μCT40 system allows for visualization, measurement, and quantification of the structure of mineralized specimens. Contrast reagents permit visualization of structures such as blood vessels. This system creates a three-dimensional model from a stack of two-dimensional X-ray images taken around a single axis of rotation. The high-resolution scanner can capture detail at a resolution of 6 to 32 microns. The non-destructive nature of this technology allows investigators to carry out complementary analyses (e.g. histology) of the same samples.

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    Instruments

    • μCT 40 with auto sample exchanger ( Computed tomography scanner )

      The scanner is designed for 3D X-ray imaging of small samples in high resolution, and will provide images and quantitative analyses of internal structures of ex vivo samples without any destructive procedures. The non-destructive nature of this technology allows investigators to carry out complementary analyses (e.g., histology) of the same samples. The instrument is basically designed for mineralized tissues. However, imaging of soft tissue, such as blood vessels, is also possible if an appropriate contrast reagent is used.

    Services

    • Micro Computed Tomography ( Material analysis service )

      Allows acquisition of 3D X-ray images from small samples in high resolution; permits quantitative analyses of internal structures of ex vivo samples without any destructive procedures. Imaging of soft tissue, such as blood vessels, is also possible if an appropriate contrast reagent is used. Please contact the director for further information about the service.


    Last updated: 2018-05-21T08:26:44.952-05:00

    Copyright © 2016 by the President and Fellows of Harvard College
    The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016