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Related Experiment Video

Updated: Jul 5, 2025

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System
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Automated Whole Slide Imaging for Label-Free Histology Using Photon Absorption Remote Sensing Microscopy.

James E D Tweel, Benjamin R Ecclestone, Marian Boktor

    IEEE Transactions on Bio-Medical Engineering
    |January 17, 2024
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a label-free whole slide scanner using PARS microscopy, enabling detailed tissue imaging without destructive staining. This advance integrates optical methods into histopathology workflows, preserving samples for future analysis.

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    Area of Science:

    • Histopathology
    • Optical Microscopy
    • Digital Pathology

    Background:

    • Histochemical stains are crucial for pathologists to identify pathological conditions in tissue samples.
    • Current staining methods are destructive, limiting the number of stains applicable to a single tissue section.
    • This limitation hinders comprehensive analysis and archiving of valuable tissue samples.

    Purpose of the Study:

    • To develop and present an automated, label-free whole slide scanner utilizing Polarization-Sensitive Multi-Photon Excitation Microscopy (PARS).
    • To demonstrate the capability of PARS microscopy for imaging thin, transmissible tissue samples without chemical labeling.
    • To enable seamless integration of label-free optical imaging into standard histopathology workflows.

    Main Methods:

    • Developed an automated whole slide scanner employing a PARS microscope for imaging thin, transmissible samples.
    • Optimized focal plane acquisition across entire tissue sections using the scattering signal from the PARS detection beam.
    • Implemented a custom contrast leveling algorithm for seamless stitching of whole slide images (WSIs) and compared PARS WSIs with identical H&E stained sections.

    Main Results:

    • Presented PARS whole slide images (WSIs) at 40x magnification in malignant human breast and skin samples.
    • Demonstrated correspondence of subcellular diagnostic details between PARS and H&E stained WSIs.
    • Showed quantitative similarity in nuclear features and structural information between the two modalities and performed virtual H&E staining of a PARS WSI.

    Conclusions:

    • PARS WSIs are compatible with existing digital pathology tools and standard analysis pipelines.
    • Tissue samples imaged with PARS remain suitable for subsequent histochemical, immunohistochemical, and other staining techniques.
    • This label-free approach represents a critical advance for integrating advanced optical methods into routine histopathology.