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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Blanquez-Yeste, V., Janelle, F., Tran, T., Ember, K., Sheehy, G., Dallaire, F., Marple, E., Urmey, K., Labidi, M., & Leblond, F. (2025). Development and preclinical evaluation of an endonasal Raman spectroscopy probe for transsphenoidal pituitary adenoma surgery. Journal of Biomedical Optics, 30(3), 035004 (17 pages). Available
Daoust, F., Dallaire, F., Tavera, H., Ember, K., Guiot, M.-C., Petrecca, K., & Leblond, F. (2025). Preliminary study demonstrating cancer cells detection at the margins of whole glioblastoma specimens with Raman spectroscopy imaging. Scientific Reports, 15, 6453 (15 pages). Available
Leblond, F., Dallaire, F., Ember, K., Le Moël, A., Blanquez-Yeste, V., Tavera, H., Sheehy, G., Trang, T., Guiot, M.-C., Weil, A. G., Dudley, R., Hadjipanayis, C. G., & Petrecca, K. (2025). Quantitative assessment of the generalizability of a brain tumor Raman spectroscopy machine learning model to various tumor types including astrocytoma and oligodendroglioma [Discussion or Letter]. Journal of Biomedical Optics, 30(1), 010501 (7 pages). Available
Leblond, F., Ahmad, E. Z., Dallaire, F., Damours, É., Boonaas, M., Selb, J., Le Roy Pépin, R., Sheehy, G., Ksantini, N., Ember, K., Lilge, L., & Huang, Z. (2025, June). Development of a Raman spectroscopy biofluid interrogation platform applied to lung cancer detection from blood plasma [Paper]. European Conferences on Biomedical Optics (ECBO 2025), Munich, Germany (3 pages). External link
Ember, K., Dallaire, F., D'Amours, É., Bounaas, M., Selb, J., Lesage, F., & Leblond, F. (2025, April). Low-cost Raman Spectroscopy for Detection of Lung Cancer in a National Blood Plasma Biobank [Paper]. Clinical and Translational Biophotonics 2025, Coronado, CA, USA. External link
Ember, K., Dallaire, F., Plante, A., Sheehy, G., Guiot, M.-C., Agarwal, R., Yadav, R., Douet, A., Selb, J., Tremblay, J. P., Dupuis, A., Marple, E., Urmey, K., Rizea, C., Harb, A., McCarthy, L., Schupper, A., Umphlett, M., Tsankova, N., ... Petrecca, K. (2024). In situ brain tumor detection using a Raman spectroscopy system — results of a multicenter study. Scientific Reports, 14, 14 (12 pages). Available
Ember, K., Ksantini, N., Dallaire, F., Sheehy, G., Noé, A., Tran, T., Durand, M., Trudel, D., & Leblond, F. (2024, January). Rapid detection of COVID-19 in liquid saliva using reagent-free Raman spectroscopy [Presentation]. In SPIE Photonics West 2024, San Francisco, California, United States. External link
Grajales, D., Le, W. T., Tran, T., David, S., Dallaire, F., Ember, K., Leblond, F., Menard, C., & Kadoury, S. (2024). Robot-assisted biopsy sampling for online Raman spectroscopy cancer confirmation in the operating room. International Journal of Computer Assisted Radiology and Surgery, 9-9. External link
David, S., Ksantini, N., Dallaire, F., Ember, K., Daoust, F., Sheehy, G., Hadjipanayis, C. G., Petrecca, K., Wilson, B. C., & Leblond, F. (2024). Toward noncontact macroscopic imaging of multiple cancers using multi-spectral inelastic scattering detection. Journal of Biophotonics, 2024000087 (7 pages). External link
Ember, K., Dulude, J.-P., Tran, T., Gervais, M.-K., Meterissian, S., Dudley, R., Petrecca, K., & Leblond, F. (2023). Clinical Aspects of Raman Spectroscopy in Surgical Applications. In Sato, H., Popp, J., Wood, B. R., & Ozaki, Y. (eds.), Raman Spectroscopy in Human Health and Biomedicine (pp. 553-585). External link
Ember, K. (2023). Scientific utopias: tackling an early-morning crisis at the Institute of Merged Sciences. Nature, -. External link
Sheehy, G., Picot, F., Dallaire, F., Ember, K., Nguyen, T., Petrecca, K., Trudel, D., & Leblond, F. (2023). 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, 28(2), 025002 (20 pages). External link
Ember, K., Daoust, F., Mahfoud, M., Dallaire, F., Ahmad, E. Z., Tran, T., Plante, A., Diop, M.-K., Nguyen, T., St-Georges-Robillard, A., Ksantini, N., Lanthier, J., Filiatrault, A., Sheehy, G., Beaudoin, G., Quach, C., Trudel, D., & Leblond, F. (2022). Saliva-based detection of COVID-19 infection in a real-world setting using reagent-free Raman spectroscopy and machine learning. Journal of Biomedical Optics, 27(2), 025002 (24 pages). Available
Depaoli, D., Lemoine, É., Ember, K., Parent, M., Prud'Homme, M., Cantin, L., Petrecca, K., Leblond, F., & Cote, D. C. (2020). Rise of Raman spectroscopy in neurosurgery: A review. Journal of Biomedical Optics, 25(5), 36 pages. External link
