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9 March 2020 Multimodal method for the identification of multiphoton cancer biomarkers using 3D tumor spheroids (Conference Presentation)
Björn-Ole Meyer, M. Pilar J. Stella, Dominik Marti, Bjørn Holst, Boye S. Nielsen, Kim Holmstrøm, Peter E. Andersen
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Proceedings Volume 11244, Multiphoton Microscopy in the Biomedical Sciences XX; 112441U (2020) https://doi.org/10.1117/12.2546141
Event: SPIE BiOS, 2020, San Francisco, California, United States
Abstract
Endoscopes and other optical, non-invasive diagnostic instruments require measurable parameters (biomarkers) that reliably represent early signs of cancer. These biomarkers are challenging to identify in complex tissues due to their dependence on environmental and disease specific influences. In Multiphoton Microscopy (MPM), signals are commonly separated into channels using optical filters. The choice of channels typically relies on generalized prior knowledge. In order to establish more disease specific biomarkers, a reliable cancer model is desired. We present a method to study biomarkers using spheroids as a cancer model. The spheroid development and harvesting are monitored using Optical Coherence Tomography (OCT). We further introduce a hyperspectral MPM system to investigate biomarkers in the autofluorescence of cancerous and normal cell lines. To improve the detection of the selected biomarkers, an algorithm suggests corresponding filters for diagnostic or research purposes.
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Björn-Ole Meyer, M. Pilar J. Stella, Dominik Marti, Bjørn Holst, Boye S. Nielsen, Kim Holmstrøm, and Peter E. Andersen "Multimodal method for the identification of multiphoton cancer biomarkers using 3D tumor spheroids (Conference Presentation)", Proc. SPIE 11244, Multiphoton Microscopy in the Biomedical Sciences XX, 112441U (9 March 2020); https://doi.org/10.1117/12.2546141
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KEYWORDS
Cancer
Tumors
Tumor growth modeling
Diagnostics
Luminescence
Optical coherence tomography
3D modeling
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