ArticleJournal of biomedical optics2021
Handheld macroscopic Raman spectroscopy imaging instrument for machine-learning-based molecular tissue margins characterization.
Article in Journal of biomedical optics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Spatially multiplexed random-access Raman probe for in vivo tissue measurements.Biomedical optics express · 2026Article
- Experimental method to assess depth sensing limits of inelastic scattering measurements using spatial-offset Raman spectroscopy imaging.Journal of biomedical optics · 2025Article
- Preliminary study demonstrating cancer cells detection at the margins of whole glioblastoma specimens with Raman spectroscopy imaging.Scientific reports · 2025Article
- Single-cell Raman spectroscopy detects pediatric focal cortical dysplasia.Biophotonics discovery · 2025Article
- Macroscopic inelastic scattering imaging using a hyperspectral line-scanning system identifies invasive breast cancer in lumpectomy and mastectomy specimens.Journal of biomedical optics · 2024Article
- Vibrational spectroscopy and multiphoton microscopy for label-free visualization of nervous system degeneration and regeneration.Biophysical reviews · 2024Review
- A Raman spectral marker for the iso-octyl chain structure of cholesterol.Analytical science advances · 2024Article
- Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy.Cancers · 2023Review
- Physicochemical understanding of biomineralization by molecular vibrational spectroscopy: From mechanism to nature.Exploration (Beijing, China) · 2023Review
- Article
- Open-sourced Raman spectroscopy data processing package implementing a baseline removal algorithm validated from multiple datasets acquired in human tissue and biofluids.Journal of biomedical optics · 2023Article
- The emerging applications and advancements of Raman spectroscopy in pediatric cancers.Frontiers in oncology · 2023Review
- Neurosurgical Clinical Trials for Glioblastoma: Current and Future Directions.Brain sciences · 2022Review
- From Research to Diagnostic Application of Raman Spectroscopy in Neurosciences: Past and Perspectives.Free neuropathology · 2022Article
- Raman spectroscopy: A prospective intraoperative visualization technique for gliomas.Frontiers in oncology · 2022Review
- Label-free detection of brain tumors in a 9L gliosarcoma rat model using stimulated Raman scattering-spectroscopic optical coherence tomography.Journal of biomedical optics · 2021Article
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Authors and funding
12 authors.
Funding
Abstract
significanceRaman spectroscopy has been developed for surgical guidance applications interrogating live tissue during tumor resection procedures to detect molecular contrast consistent with cancer pathophysiological changes. To date, the vibrational spectroscopy systems developed for medical applications include single-point measurement probes and intraoperative microscopes. There is a need to develop systems with larger fields of view (FOVs) for rapid intraoperative cancer margin detection during surgery.
aimWe design a handheld macroscopic Raman imaging system for in vivo tissue margin characterization and test its performance in a model system. APPROACH: The system is made of a sterilizable line scanner employing a coherent fiber bundle for relaying excitation light from a 785-nm laser to the tissue. A second coherent fiber bundle is used for hyperspectral detection of the fingerprint Raman signal over an area of 1 cm2. Machine learning classifiers were trained and validated on porcine adipose and muscle tissue.
resultsPorcine adipose versus muscle margin detection was validated ex vivo with an accuracy of 99% over the FOV of 95 mm2 in ∼3 min using a support vector machine.
conclusionsThis system is the first large FOV Raman imaging system designed to be integrated in the workflow of surgical cancer resection. It will be further improved with the aim of discriminating brain cancer in a clinically acceptable timeframe during glioma surgery.
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