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Shining a Light on Cancer-Photonics in Microfluidic Tumor Modeling and Biosensing
Carlos F Guimarães1,2, Daniela Cruz-Moreira1,2, David Caballero1,2
13B's Research Group - Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.
Photonics enhances microfluidic 3D cancer models and biosensing by enabling precise cell manipulation and data extraction. This review explores optical tools for engineering cancer microenvironments and detecting biomarkers.
Area of Science:
- Biomedical Engineering
- Optics and Photonics
- Cancer Research
Background:
- Microfluidic platforms offer miniaturized, physiologically relevant in vitro cancer models.
- Light and optical technologies provide efficient and versatile tools for microscale manipulation and quantification.
- Current methods require advancement in engineering complex cancer microenvironments.
Purpose of the Study:
- To review the role of photonics in microfluidic 3D cancer modeling and biosensing.
- To highlight optical technologies for manipulating cells and biomaterials.
- To discuss optofluidics for data extraction and optical biosensing for biomarker detection.
Main Methods:
- Review of optical-driven technologies for microscale cell and biomaterial manipulation.
- Exploration of optofluidics for interfacing microfluidic chips and data acquisition.
- Analysis of light-matter interactions for cancer biomarker and circulating tumor cell detection.
Main Results:
- Optical technologies enable precise engineering of 3D microfluidic cancer models, including architecture, cellular complexity, and vascularization.
- Optofluidics facilitates extraction of biological data, including 3D imaging of cells within microchannels.
- Optical biosensing advances detection of cancer biomarkers, circulating tumor cells, and exosomes.
Conclusions:
- Photonics is crucial for advancing microfluidic 3D cancer modeling and biosensing.
- Future research in photonic technologies will propel the field forward.
- Challenges and caveats in current applications are identified to guide future research.
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