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Quantitative analysis of histopathological findings using image processing software.

Yasushi Horai1, Tetsuhiro Kakimoto1, Kana Takemoto1

  • 1Sohyaku. Innovative Research Division, Mitsubishi Tanabe Pharma Corporation, 2-2-50 Kawagishi, Toda-shi, Saitama 335-8505, Japan.

Journal of Toxicologic Pathology
|November 4, 2017
PubMed
Summary
This summary is machine-generated.

Image processing software can quantify pathological changes in tissues, aiding drug studies. However, recognition of specific spleen regions and certain liver/adrenal vacuoles remains challenging with current methods.

Keywords:
digital image processingdigital pathologyhematoxylin and eosinimage processing softwaremorphometryquantitative analysis

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Area of Science:

  • Pathology
  • Image Analysis
  • Drug Development

Background:

  • Morphometric analysis is crucial for evaluating drug efficacy and toxicity.
  • Pathological changes in tissues require accurate quantification.

Purpose of the Study:

  • To assess the capability of image processing software in recognizing and quantifying morphometric changes in various pathological findings.
  • To evaluate the effectiveness of different software tools for specific tissue analyses.

Main Methods:

  • Utilized Tissue Studio and Image-Pro Plus software for image processing and morphometric analysis.
  • Analyzed various tissue specimens stained with hematoxylin and eosin.
  • Applied criteria such as area and roundness for quantification.

Main Results:

  • Hepatocyte and adrenocortical cell hypertrophy were quantifiable with Tissue Studio.
  • Spleen regions (red pulp, white pulp, marginal zones) were not recognized by Tissue Studio under single settings.
  • Image-Pro Plus quantified liver lipid and intestinal mucin vacuoles.
  • Quantification of phospholipid vacuoles was hindered by coexisting lipid deposition.
  • Mononuclear inflammatory cell infiltration in the liver was partially quantifiable.
  • Adipocyte size and mean linear intercept were efficiently quantified using Image-Pro Plus.

Conclusions:

  • Image processing software shows potential for quantitative pathological analysis in drug studies.
  • Specific software and settings are required for accurate quantification of different pathological features.
  • Further development is needed to improve recognition of complex structures like spleen regions and certain vacuoles.