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Related Experiment Video

Updated: Mar 23, 2026

Serial Two-Photon Tomography of the Whole Marmoset Brain for Neuroanatomical Analyses
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Whole Brain Imaging with Serial Two-Photon Tomography.

Stephen P Amato1, Feng Pan2, Joel Schwartz1

  • 1TissueVision, Inc. Cambridge, MA, USA.

Frontiers in Neuroanatomy
|April 6, 2016
PubMed
Summary

Serial Two-Photon (STP) tomography enables high-resolution, whole-brain imaging for neuroscience research. This robust method facilitates detailed neural circuit and neurodegeneration studies, overcoming previous limitations in brain mapping.

Keywords:
Alzheimer’s diseasebrain mappingneural circuitsserial section tomographyserial two-photon tomography

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Area of Science:

  • Neuroscience
  • Biomedical Imaging
  • Histology

Background:

  • Whole-brain imaging at submicron resolution is difficult, limiting neuroscience research.
  • Systematic studies of neural circuits, brain mapping, and neurodegeneration are hindered.
  • Current methods are often confined to specialized atlasing projects.

Purpose of the Study:

  • To detail Serial Two-Photon (STP) tomography, a method for whole-brain imaging.
  • To demonstrate extensions of STP tomography to other modalities like Optical Coherence Tomography (OCT).
  • To survey research enabled by STP tomography and discuss its limitations.

Main Methods:

  • Serial Two-Photon (STP) tomography for high-resolution, whole-brain imaging.
  • Integration with other modalities (e.g., OCT) for enhanced contrast.
  • Methodological details for robust and reliable brain imaging.

Main Results:

  • STP tomography provides histological detail across entire mouse brains.
  • The method supports quantitative whole-brain studies in neuroscience.
  • Extensions to OCT offer unique contrast mechanisms for brain imaging.

Conclusions:

  • STP tomography is a powerful tool for detailed whole-brain analysis.
  • This technology advances research in neural circuits, brain mapping, and neurodegeneration.
  • Further development can address current limitations for broader neuroscience applications.