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Building and characterizing a fluorescence setup to measure very low concentrations of analytes/biomarkers

Authors: Nathan Mortiaux; Heidi Ottevaere; Yunfeng Nie;

Building and characterizing a fluorescence setup to measure very low concentrations of analytes/biomarkers

Abstract

This training report is the result of my internship in the B-Phot Brussels Photonics team of the VUB that took place between February 3 and April 3, 2020. The project of this internship nds its context in the European SensApp project which regroups several European research institutes and universities, including the VUB. The goal of this project is to develop a method to diagnose the Alzheimer's disease in a faster and non-invasive manner, simply through a blood test, which is currently not possible because the concentration of biomarkers of the Alzheimer's disease in the blood is too low. During this internship, I was lead to build, align and calibrate a uorescence detection setup. Using this setup, I made mea- surements of the uorescence intensity of low concentrations of dye solutions. From those measurements, I performed calculations of the signal to noise ratio in order to determine the limit of detection of the setup. Finally, I studied the kinetics of photobleaching in order to get to a better understanding of its impact on the measurements.

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fluorescence detection setup

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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