Related Experiment Video
Updated: May 6, 2026

Utilizing 3D Printing Technology to Merge MRI with Histology: A Protocol for Brain Sectioning
Published on: December 6, 2016
Advancements in Neurosurgical Intraoperative Histology
Ali A Mohamed1,2, Emma Sargent1, Cooper Williams1
1Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.
Abstract:
Despite their relatively low incidence globally, central nervous system (CNS) tumors remain amongst the most lethal cancers, with only a few other malignancies surpassing them in 5-year mortality rates. Treatment decisions for brain tumors heavily rely on histopathological analysis, particularly intraoperatively, to guide surgical interventions and optimize patient outcomes. Frozen sectioning has emerged as a vital intraoperative technique, allowing for highly accurate, rapid analysis of tissue samples, although it poses challenges regarding interpretive errors and tissue distortion. Raman histology, based on Raman spectroscopy, has shown great promise in providing label-free, molecular information for accurate intraoperative diagnosis, aiding in tumor resection and the identification of neurodegenerative disease. Techniques including Stimulated Raman Scattering (SRS), Coherent Anti-Stokes Raman Scattering (CARS), Surface-Enhanced Raman Scattering (SERS), and Tip-Enhanced Raman Scattering (TERS) have profoundly enhanced the speed and resolution of Raman imaging. Similarly, Confocal Laser Endomicroscopy (CLE) allows for real-time imaging and the rapid intraoperative histologic evaluation of specimens. While CLE is primarily utilized in gastrointestinal procedures, its application in neurosurgery is promising, particularly in the context of gliomas and meningiomas. This review focuses on discussing the immense progress in intraoperative histology within neurosurgery and provides insight into the impact of these advancements on enhancing patient outcomes.
Insights
Intraoperative histology techniques like Raman spectroscopy and confocal laser endomicroscopy offer advanced tools for diagnosing central nervous system (CNS) tumors during surgery, improving patient outcomes.
Area of Science:
- Neurosurgery
- Oncology
- Medical Imaging
Background:
- Central nervous system (CNS) tumors are highly lethal, necessitating accurate intraoperative diagnosis for effective treatment.
- Histopathological analysis, especially frozen sectioning, is crucial for surgical guidance but faces limitations like interpretive errors and tissue distortion.
Purpose of the Study:
- To review advancements in intraoperative histology for neurosurgery.
- To highlight the impact of new techniques on improving patient outcomes for CNS tumors.
Main Methods:
- Raman histology techniques (SRS, CARS, SERS, TERS) provide label-free molecular information for diagnosis.
- Confocal Laser Endomicroscopy (CLE) enables real-time imaging for rapid histologic evaluation.
Main Results:
- Raman histology enhances speed and resolution in imaging, aiding tumor resection and disease identification.
- CLE shows promise in neurosurgery, particularly for gliomas and meningiomas, offering real-time evaluation.
Conclusions:
- Progress in intraoperative histology significantly enhances diagnostic accuracy and surgical decision-making in neurosurgery.
- These advanced techniques hold substantial potential for improving patient outcomes in the management of brain tumors.

