Laurent Mombaerts
Papers
2
Total Citations
29
H-Index
2
About
Laurent Mombaerts is a biomedical researcher advancing the application of Raman spectroscopy for intraoperative cancer diagnostics, with a primary focus on meningioma surgery. His most cited work (2021, 26 citations) demonstrates a groundbreaking method to discriminate native meningioma from dura mater in real time during tumor resection—a critical capability for achieving complete removal and reducing recurrence rates. By harnessing Raman spectroscopy’s label-free, non-destructive properties, Mombaerts provides surgeons with a molecular-level tool to distinguish tumor from healthy tissue at the surgical margin. His more recent study (2024) tackles a practical bottleneck in clinical translation: the impact of tissue fixation methods on spectral data. By systematically comparing cryofixation and formalin fixation, he offers strategies for integrating tumor bank samples into classifier training, thereby expanding the sample pool needed for robust machine learning models. This work bridges the gap between laboratory spectroscopy and real-world surgical workflows, positioning Mombaerts as a key contributor to the emerging field of optical biopsy. His research holds promise for improving outcomes in neurosurgery and beyond.
Research Focus
Key Achievements
Top Papers
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