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Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
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Reconstructing 3D histological structures using machine learning (artificial intelligence) algorithms.

J Báskay1, M Kivovics2, D Pénzes2

  • 1Department of Biological Physics, Eötvös Loránd University, Pázmány Péter Sétány 1/a, 1117, Budapest, Hungary.

Pathologie (Heidelberg, Germany)
|November 21, 2024
PubMed
Summary
This summary is machine-generated.

This study presents a novel 3D bone microarchitecture reconstruction method from 2D histological sections, achieving high accuracy and strong correlations with microCT parameters. This technique offers higher resolution for bone analysis but is destructive.

Keywords:
Cancellous boneDental implantationHistologyNeural networks, computerSensitivity and specificity

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Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Orthopedics

Background:

  • Histomorphometry, the gold standard for bone microarchitecture, uses 2D sections and assumes a plate-like 3D structure, losing spatial information.
  • Classical histological processing is destructive, limiting 3D structural analysis of bone core biopsies.

Purpose of the Study:

  • To develop and validate a method for reconstructing the 3D architecture of bone core biopsy samples from 2D histological sections.
  • To overcome the limitations of traditional histomorphometry and microcomputed tomography (microCT) in bone analysis.

Main Methods:

  • Bone core biopsy samples were decalcified, embedded in paraffin, and serially sectioned (5 µm).
  • Sections were stained, scanned, and analyzed using a modified U-Net architecture for tissue categorization and LoFTR for 3D reconstruction.
  • Micromorphometric parameters were calculated and compared between the histological reconstruction and microCT datasets using CTAn software.

Main Results:

  • The reconstruction method achieved 95.26% accuracy and an F-score of 0.9320.
  • Strong linear relationships (Spearman's ρ > 0.66) were observed between parameters derived from histological reconstruction and microCT.
  • Bland-Altman and mountain plots confirmed good agreement for bone volume/tissue volume (BV/TV) measurements.

Conclusions:

  • The developed method allows for high-resolution 3D examination of bone microarchitecture, surpassing microCT in resolution and retaining cellularity information.
  • The primary limitation is the destructive nature of the process, precluding subsequent mechanical testing or secondary measurements.
  • The number of histological sections obtainable from a single sample also presents a constraint.