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Related Experiment Video

Updated: Nov 11, 2025

3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles
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Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images.

Ruining Deng, Haichun Yang, Aadarsh Jha

    IEEE Transactions on Medical Imaging
    |March 29, 2021
    PubMed
    Summary
    This summary is machine-generated.

    We developed Map3D, a new method for 3D glomerular association in kidney pathology using whole slide imaging. This approach improves accuracy in identifying and tracking glomeruli across serial sections, aiding research and clinical practice.

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    Area of Science:

    • Digital Pathology
    • Medical Imaging
    • Computational Pathology

    Background:

    • Precise glomerular quantification is crucial for renal pathology research and practice.
    • Whole slide imaging (WSI) enables 3D analysis of serial tissue sections, similar to radiology.
    • Challenges in 3D pathology include tissue deformation, missing sections, and WSI artifacts, hindering glomeruli association.

    Purpose of the Study:

    • To propose a novel method, Multi-object Association for Pathology in 3D (Map3D), for automatic 3D identification and association of glomeruli from serial WSI.
    • To address the challenges of large-scale object association in 3D pathology.

    Main Methods:

    • Map3D utilizes a multi-object tracking (MOT) framework for large-scale glomerular association.
    • A quality-aware whole series registration method is introduced for affinity estimation and quality assurance.
    • A dual-path association strategy is employed to handle tissue deformation, missing sections, and artifacts.

    Main Results:

    • Map3D is the first method for automatic, large-scale glomerular association across 3D serial sections using WSI.
    • The Map3D method achieved a Multi-Object Tracking Accuracy (MOTA) of 44.6.
    • This result is 12.1% higher than existing non-deep learning benchmarks.

    Conclusions:

    • Map3D offers a robust solution for 3D glomerular association in digital renal pathology.
    • The method enhances the potential for 3D assessment in pathology, leveraging WSI data.
    • Map3D demonstrates significant improvements over traditional methods for glomeruli tracking and quantification.