Qualitative and quantitative assessment of ex vivo human brain tumors using quantitative oblique back-illumination microscopy (qOBM)
Abstract
Accurate intraoperative diagnosis of brain tumors is critical for improving patient outcomes, yet current histopathology is time-consuming and performed outside the operating room. We investigate the use of quantitative oblique back-illumination microscopy (qOBM) for the identification and classification of tumors in brain tumor core samples ex vivo . We studied samples from 28 patients across four tumor types and identified diagnostic features in qOBM images corroborated by H&E. Using samples from 19 glioma patients, a leave-one-out classifier distinguishes high- from low-grade glioma cases with 86.6% accuracy (95% CI: 85.9-87.4%), demonstrating qOBM’s potential for real-time intraoperative diagnosis in future studies.
Fields of Study & Subjects
Advanced Fluorescence Microscopy Techniques
Cell Image Analysis Techniques
Advanced Electron Microscopy Techniques and Applications
Publication details
- Journal / source
- Biomedical Optics Express
- Publisher
- Optica Publishing Group
- Volume
- 17
- Issue
- 4
- Pages
- 1936–1936
- Publication date
- 16 March 2026
- Language
- EN