Dr. Thomas S. Nijboer Profile

Dr. Thomas S. Nijboer

at Univ Medical Ctr Groningen

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Author

Publications (4)

SPIE Journal Paper | 15 November 2024 Open Access

Systematic comparison of fluorescence imaging in the near-infrared and shortwave-infrared spectral range using clinical tumor samples containing cetuximab-IRDye800CW

Bas Keizers, Thomas S. Nijboer, Christa A. van der Fels, Marius C. van den Heuvel, Gooitzen van Dam, Schelto Kruijff, Igle Jan de Jong, Max J. Witjes, Floris Voskuil, Dimitris Gorpas, Wesley Browne, Pieter van der Zaag

JBO, Vol. 30, Issue S1, S13708, (November 2024) https://doi.org/10.1117/12.10.1117/1.JBO.30.S1.S13708

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Proceedings Article | 18 June 2024 Presentation + Paper

First clinical application of paired-agent imaging to intraoperatively detect cancer spread in excised sentinel lymph nodes from patients with head and neck cancer

Anjalika Sharma, T. Nijboer, Cody Rounds, Jovan Brankov, Floris Voskuil, Max J. Witjes, Kenneth Tichauer

Proceedings Volume 13009, 130090A (2024) https://doi.org/10.1117/12.3022515

KEYWORDS: Cancer, Tumors, 3D modeling, Lymph nodes, In vitro testing, Tumor growth modeling, Oncology, Neck, Matrices, Cancer detection

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Cancer continues to be a significant global health issue in the 21st century, presenting substantial risks to the health and well-being of individuals worldwide. Although there have been improvements in comprehending the molecular processes of the disease and creating treatments that specifically target it, a considerable portion of patients continue to encounter difficulties in attaining favorable results. Conventional two-dimensional (2D) cell cultures have been extensively used in cancer research. However, their inability to accurately mimic the intricate characteristics of tumors limits their effectiveness in predicting how anticancer treatments would perform in clinical settings. In order to overcome these restrictions, three-dimensional (3D) cell culture models, specifically multicellular spheroids, have arisen as promising tool for investigating cancer biology and therapeutic response. This work analyzes the development and growth dynamics of spheroids obtained from four distinct cancer cell lines: 9L-GFP, U251-RFP, A431, and FaDu. The stability and growth features of these spheroids were evaluated by culturing them using different cell counts and dilution ratios. Confocal microscopy was used to observe the formation of spheroids and measure their sizes for a duration of seven days. The results of our study reveal clear variations in growth patterns and stability profiles across the investigated cell lines. Notably, the 9L-GFP cell line demonstrates exceptional stability and continuous growth. The statistical analysis demonstrated that spheroids exhibited the most stability when the cell count was 25,000 cells and the dilution ratio was 1:3, as indicated by the high R-squared values. These findings highlight the significance of adjusting the number of cells and dilution ratios to ensure consistent and replicable spheroid formation. In summary, our study emphasizes the capacity of 3D spheroid models as effective instruments in cancer research and medication development, providing vital information about tumor biology and therapeutic responses in a context that closely resembles the physiological conditions.

Proceedings Article | 13 March 2024 Presentation + Paper

Ex vivo detection of oral squamous cell carcinoma spread to lymph nodes using paired-agent fluorescence optical tomography: path to clinical translation

Anjalika Sharma, Cody Rounds, T. Nijboer, Floris Voskuil, Max J. Witjes, Jovan Brankov, Kenneth Tichauer

Proceedings Volume 12825, 1282507 (2024) https://doi.org/10.1117/12.3001099

KEYWORDS: Cancer, Lymph nodes, Neck, Tumors, Head, 3D modeling, Tumor growth modeling, Surgery, Neodymium, Cancer detection

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Proceedings Article | 15 March 2023 Presentation + Paper

Fluorescence mesoscopic imaging of whole lymph nodes for intraoperative sentinel lymph node biopsy procedures

Kenneth Tichauer, Cody Rounds, Veronica Torres, Chengyue Li, Hang Nguyen, Thom Nijboer, Floris Voskuil, Jovan Brankov, Max J. Witjes

Proceedings Volume 12361, 123610C (2023) https://doi.org/10.1117/12.2654231

KEYWORDS: Lymph nodes, Monte Carlo methods, Cancer, Biological imaging, Simulations, Surgery, Fluorescence, Cancer detection

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