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Related Experiment Video

Updated: Jan 9, 2026

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections
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Towards a Sensor System for Quantitative Fluorescence Detection in Glioma Surgery.

J Raschke, J P Ndabakuranye, D Sharma

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 3, 2025
    PubMed
    Summary
    This summary is machine-generated.

    A new miniature fluorescence sensor shows promise for detecting brain tumors (gliomas) during surgery. It accurately identifies key tumor markers at concentrations below human detection limits, aiding more complete tumor removal.

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    Area of Science:

    • Biomedical Engineering
    • Surgical Technology
    • Oncology Diagnostics

    Background:

    • Gliomas are aggressive brain tumors requiring precise surgical resection.
    • Current methods for intraoperative glioma detection have limitations.
    • Fluorescence-guided surgery (FGS) offers improved visualization of tumor margins.

    Purpose of the Study:

    • To benchmark a miniature fluorescence sensor system for glioma FGS feasibility.
    • To assess the sensor's sensitivity and selectivity for tumor markers.
    • To evaluate the system's performance in realistic surgical conditions.

    Main Methods:

    • Analytical experiments using gelatin brain tumor models.
    • Testing sensor selectivity for autofluorescence and PpIX fluorescence.
    • Sensitivity assessment with PpIX solutions and ex-vivo rat brain models.

    Main Results:

    • The sensor system demonstrated feasibility for fluorescence detection.
    • It showed high selectivity in differentiating tumor markers from normal tissue.
    • Detection sensitivity reached 1 μg/mL PpIX, below the expert limit of 4 μg/mL.

    Conclusions:

    • The miniature fluorescence sensor is a viable tool for glioma detection.
    • Its high sensitivity and selectivity support enhanced intraoperative margin delineation.
    • This technology could lead to improved glioma resection and patient outcomes.