ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2019
Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 39 citations in OpenAlex.
- Femtosecond label-free imaging: A rapid and reliable alternative for intraoperative pathological assessment in thoracic oncology.JTCVS open · 2026Article
- Five-modal multiphoton microscopy enabled by a tunable dual-wavelength fiber laser.Biomedical optics express · 2026Article
- Fast multimodal imaging combined with machine learning identifying taurine as a potential marker for breast cancer margin assessment.NPJ digital medicine · 2025Article
- Assessment of Collagen and Fibroblast Properties via Label-Free Higher Harmonic Generation Microscopy in Three-Dimensional Models of Osteogenesis Imperfecta and Ehlers-Danlos Syndrome.International journal of molecular sciences · 2025Article
- Dynamic imaging of myelin pathology in physiologically preserved human brain tissue using third harmonic generation microscopy.PloS one · 2025Article
- Review
- Roadmap on Label-Free Super-Resolution Imaging.Laser & photonics reviews · 2023Article
- Advances in Intraoperative Glioma Tissue Sampling and Infiltration Assessment.Brain sciences · 2023Review
- A deep learning-based stripe self-correction method for stitched microscopic images.Nature communications · 2023Article
- Rapid On-Site Pathology Visualization of COVID-19 Characteristics Using Higher Harmonic Generation Microscopy.American journal of respiratory and critical care medicine · 2023Article
- Rapid digital pathology of H&E-stained fresh human brain specimens as an alternative to frozen biopsy.Communications medicine · 2023Article
- Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning.PloS one · 2023Article
- Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism.PloS one · 2023Article
- Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning.Scientific reports · 2022Article
- Construction of a high-NFOM multiphoton microscope with large-angle resonant raster scanning.STAR protocols · 2022Article
- Article
- Recent Advancements in Optical Harmonic Generation Microscopy: Applications and Perspectives.BME frontiers · 2021Review
- Compact portable multiphoton microscopy reveals histopathological hallmarks of unprocessed lung tumor tissue in real time.Translational biophotonics · 2020Article
- Automated interpretation of time-lapse quantitative phase image by machine learning to study cellular dynamics during epithelial-mesenchymal transition.Journal of biomedical optics · 2020Article
- Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019Article
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Distinguishing tumors from normal brain cells is important but challenging in glioma surgery due to the lack of clear interfaces between the two. The ability of label-free third harmonic generation (THG) microscopy in combination with automated image analysis to quantitatively detect glioma infiltration in fresh, unprocessed tissue in real time is assessed. The THG images reveal increased cellularity in grades II-IV glioma samples from 23 patients, as confirmed by subsequent hematoxylin and eosin histology. An automated image quantification workflow is presented for quantitative assessment of the imaged cellularity as a reflection of the degree of glioma invasion. The cellularity is validated in three ways: 1) Quantitative comparison of THG imaging with fluorescence microscopy of nucleus-stained samples demonstrates that THG reflects the true tissue cellularity. 2) Thresholding of THG cellularity differentiates normal brain from glioma infiltration, with 96.6% sensitivity and 95.5% specificity, in nearly perfect (93%) agreement with pathologists. 3) In one patient, a good correlation between THG cellularity and preoperative magnetic resonance and positron emission tomography imaging is demonstrated. In conclusion, quantitative real-time THG microscopy accurately assesses glioma infiltration in ex vivo human brain samples, and therefore holds strong potential for improving the accuracy of surgical resection.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.