Frank Hertel
Papers
2
Total Citations
29
H-Index
2
About
Frank Hertel’s research centers on the application of Raman spectroscopy for intraoperative tumor detection and tissue discrimination, with a particular focus on meningiomas—one of the most common central nervous system tumors. His major contribution lies in demonstrating that Raman spectroscopy, a non-destructive, label-free vibrational technique, can reliably distinguish native meningioma tissue from healthy dura mater during surgery, a critical step for achieving total resection and reducing tumor recurrence. His most-cited work (2021, 26 citations) established this proof-of-concept, highlighting the method’s potential for real-time surgical guidance. Hertel has also advanced the field by systematically investigating how different tissue preservation methods—cryofixation and formalin fixation—affect Raman spectral signatures (2024, 3 citations). This work provides essential guidelines for building robust Raman-based tumor classifiers using archived tissue samples, thereby expanding the sample pool available for training machine learning models. His research bridges the gap between spectroscopic physics and clinical neurosurgery, offering a practical path toward more precise, intraoperative tumor margin assessment. Hertel’s work is particularly notable for its translational impact, directly addressing a key challenge in neuro-oncology.
Research Focus
Key Achievements
Top Papers
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