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Related Experiment Video

Updated: Dec 23, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Emerging technologies for diagnostic pathology.

Octavian Bucur1,2

  • 1Department of Pathology, Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA, USA.

Discoveries (Craiova, Romania)
|April 21, 2020
PubMed
Summary

Three new technologies, including fluorescent in situ sequencing, 3D microscopy, and expansion microscopy, are poised to revolutionize diagnostic pathology. These innovations enhance cellular and spatial analysis for improved disease diagnosis.

Keywords:
3D diagnosis3D microscopyEmerging technologiesFISSEQcomputational pathologydiagnosisexpansion microscopyimage analysismethods

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Area of Science:

  • Pathology
  • Biotechnology
  • Medical Imaging

Background:

  • Diagnostic pathology relies on accurate tissue analysis.
  • Recent years have seen significant technological advancements.
  • Emerging technologies offer potential improvements in diagnostic capabilities.

Purpose of the Study:

  • To discuss three novel technologies with high potential in diagnostic pathology.
  • To highlight advancements in cellular and spatial analysis.
  • To underscore the role of digital and computational pathology.

Main Methods:

  • Fluorescent in situ sequencing for transcriptome-wide RNA identification in single cells.
  • 3D microscopy combined with advanced image analysis for complex tissue structures.
  • Expansion microscopy for enhanced imaging of biological specimens with conventional microscopes.

Main Results:

  • Fluorescent in situ sequencing enables simultaneous, high-resolution RNA analysis.
  • 3D microscopy and image analysis improve diagnosis in challenging cases by revealing spatial relationships.
  • Expansion microscopy allows detailed imaging of expanded tissues using standard equipment.

Conclusions:

  • These three technologies represent significant progress in diagnostic pathology.
  • Digital analysis and computational pathology are crucial components of these advancements.
  • The discussed technologies are expected to shape the future of pathology diagnostics.