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At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
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Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
13:43

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Published on: June 24, 2013

3D multi-modal registration for assessing molecular activity changes in time-dependent geometries.

Madelen Andersson1, Vangelis Sakkalis, Jorge Ripoll

  • 1Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Greece.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
Summary

This study introduces an automatic method for aligning 3D animal imaging data. The technique uses surface anatomical features for accurate registration, enhancing fluorophore distribution monitoring in fluorescence molecular imaging.

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Area of Science:

  • Biomedical imaging
  • Medical physics
  • Small animal research

Background:

  • Accurate registration of 3D temporal data is crucial for monitoring fluorophore distribution in small animals using in-vivo fluorescence molecular imaging and tomography.
  • Existing methods face challenges with variations in animal positioning and compression across different imaging time points.

Purpose of the Study:

  • To present a novel automatic method for robust registration of 3D temporal data from small animal imaging.
  • To improve the accuracy of monitoring fluorophore distribution over time.

Main Methods:

  • The method employs automatic detection and alignment of 3D surface anatomical features (landmarks).
  • It utilizes these 3D surface landmarks for registration of temporal imaging data.
  • The approach is designed to accommodate differences in animal positioning and compression.

Main Results:

  • The developed method provides robust registration of 3D temporal data.
  • It enhances the accuracy of tracking fluorophore distribution in small animals.
  • The technique is applicable to both mono-modal and multi-modal imaging data, including X-ray CT and Optical tomography.

Conclusions:

  • The novel automatic method offers a significant improvement for 3D temporal data registration in small animal imaging.
  • This technique enhances the reliability of longitudinal studies in fluorescence molecular imaging.
  • The method's adaptability allows for extension to various imaging modalities and research applications.