@article{ghazani_high_2006,
	title = {High {Throughput} {Quantification} of {Protein} {Expression} of {Cancer} {Antigens} in {Tissue} {Microarray} {Using} {Quantum} {Dot} {Nanocrystals}},
	volume = {6},
	issn = {1530-6984},
	url = {https://doi.org/10.1021/nl062111n},
	doi = {10.1021/nl062111n},
	abstract = {We developed and validated a novel method for quantifying protein expression of cancer tumors in an accurate, sensitive, and high throughput format. This technique integrates quantum dots, tissue microarray, optical spectroscopy, and algorithm design for analysis of tumor biopsies. The integration of this method for tissue analysis in the clinic bears potential impact for improving the diagnosis and treatment of cancer.},
	number = {12},
	urldate = {2021-11-06},
	journal = {Nano Lett.},
	author = {Ghazani, Arezou A. and Lee, Jeongjin A. and Klostranec, Jesse and Xiang, Qing and Dacosta, Ralph S. and Wilson, Brian C. and Tsao, Ming S. and Chan, Warren C. W.},
	month = dec,
	year = {2006},
	note = {Publisher: American Chemical Society},
	pages = {2881--2886},
	file = {Full Text PDF:files/2227/Ghazani et al. - 2006 - High Throughput Quantification of Protein Expressi.pdf:application/pdf;ACS Full Text Snapshot:files/2229/nl062111n.html:text/html},
	url_Paper = {https://inbs.med.utoronto.ca/wp-content/uploads/2020/08/nl062111n.pdf}
}

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