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Total Internal Reflection Fluorescence Microscopy01:05

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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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Updated: Aug 25, 2025

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
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TriDFusion (3DF) image viewer.

Daniel Lafontaine1, C Ross Schmidtlein2, Assen Kirov2

  • 1Departments of Medical Physics, Memorial Sloan Kettering Cancer Center, 1250 First Avenue, New York, NY, 10065, USA. lafontad@mskcc.org.

EJNMMI Physics
|October 18, 2022
PubMed
Summary
This summary is machine-generated.

The TriDFusion (3DF) image viewer is an open-source platform for nuclear medicine research, offering advanced tools for multi-modality image analysis and fusion. It provides researchers with enhanced capabilities for displaying, manipulating, and analyzing medical images.

Keywords:
DICOM viewerMedical image manipulationMolecular imaging software

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Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Radiology

Background:

  • Nuclear medicine research often lacks advanced, integrated viewing platforms.
  • Commercial workstations have limitations for complex research imaging studies.
  • There is a need for extensible, open-source tools in medical image analysis.

Purpose of the Study:

  • To introduce the TriDFusion (3DF) image viewer, an open-source platform.
  • To address unmet needs in nuclear medicine research with advanced imaging tools.
  • To provide a vendor-neutral solution for multi-modality image analysis.

Main Methods:

  • Developed an extensible, open-source medical viewing platform (3DF).
  • Integrated image registration for multiple modalities with volumes of interest (VOIs) and dose distributions.
  • Included a high-quality viewer, multi-image fusion, segmentation tools, dosimetry, and clinical correction tools.
  • Wrote the software in MATLAB™ for readability and ease of modification.

Main Results:

  • The 3DF platform enables registration and fusion of images from different vendors.
  • Functional components include a viewer, multi-image fusion, segmentation, dosimetry, and error correction tools.
  • Output options include saving as DICOM files or exporting numerical results as CSV files.
  • The software facilitates complex clinical research workflows through its versatile tools.

Conclusions:

  • 3DF offers a powerful, user-friendly, open-source suite for nuclear medicine research.
  • It empowers physicians, physicists, and researchers to effectively display, manipulate, and analyze medical images.
  • The platform enhances capabilities beyond those found in typical commercial workstations.