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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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High-Throughput Automated Multiplex Immunofluorescence Assays for Translational Research
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Image microarrays (IMA): Digital pathology's missing tool.

Jason Hipp1, Jerome Cheng, Liron Pantanowitz

  • 1Department of Pathology, University of Michigan, M4233A Medical Science I, 1301 Catherine, Ann Arbor, Michigan 48109-0602.

Journal of Pathology Informatics
|December 27, 2011
PubMed
Summary
This summary is machine-generated.

Pathologists can now create image microarrays (IMAs) from digital slides using the dCORE tool. This facilitates the extraction of actionable information from vast digital slide archives for research and computer-aided diagnostic (CAD) development.

Keywords:
IMASIVQTMAWSI

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Area of Science:

  • Digital pathology
  • Computational pathology
  • Medical informatics

Background:

  • Whole slide imaging (WSI) generates vast digital slide datasets, necessitating tools for information extraction.
  • The transition to digital pathology workflows will produce millions of digital slides, requiring efficient data management and analysis solutions.
  • Current methods for extracting specific image regions from digital slides are manual and time-consuming.

Purpose of the Study:

  • To develop a user-friendly tool for pathologists to systematically capture histopathologic features from digital slides.
  • To enable the creation of image microarrays (IMAs) from digital slide archives.
  • To facilitate the extraction of actionable information for computer-aided diagnostic (CAD) algorithm development.

Main Methods:

  • Designed and implemented a tool named dCORE.
  • dCORE enables systematic capture of image tiles with constrained size and resolution.
  • The tool facilitates the creation of image microarrays (IMAs) from digital slides.

Main Results:

  • A user-friendly tool (dCORE) was developed to mine digital slide archives.
  • Pathologists can create image microarrays (IMAs) from digital slides.
  • IMAs are analogous to tissue microarrays (TMAs) and contain hundreds to thousands of high-quality digital images with key diagnostic morphologies.

Conclusions:

  • The creation of IMAs from digital slides has broad applications in education, proficiency testing, and research.
  • IMAs can accelerate the development of computer-aided diagnostic (CAD) algorithms.
  • This technology has the potential to significantly advance in situ studies in digital pathology.