Detection of organic nanoparticles within tissues using optical iterative method
Autor: | Rachel Lubart, Inbar Yariv, Dror Fixler, Hamootal Duadi, Anat Lipovsky |
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Rok vydání: | 2016 |
Předmět: |
Materials science
business.industry Scattering Iterative method Phase (waves) Nanoparticle 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Standard deviation 010309 optics Optics Reflection (mathematics) 0103 physical sciences Content (measure theory) 0210 nano-technology business Penetration depth |
Zdroj: | Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XIII. |
ISSN: | 0277-786X |
Popis: | Various techniques for recovering optical parameters were developed over the years. However each has its limitations, constraints and disadvantages (e.g. accuracy, computational speed, sample assembly, distinguishing between the different parameters, etc.). This research suggests an optical technique for extracting the reduced scattering coefficient (μs') of substances by examining the light transmission through or reflection from them. It uses the multiple planes Gerchberg- Saxton (G-S) algorithm to reconstruct the light phase created by the substance. At the end of the algorithm, μs' can be estimated from the standard deviation (STD) of the retrieved phase of the reemitted light. We will use the theory to compute the phase’s STD that directly correlated to the optical properties of different substances. Two possible applications for this technique, out of many others, are nanoparticles (NPs) penetration depth determination, for promoting topical medications, and detection of milk components quantitative signature as en route to milk content monitoring tool. For the former application, three materials were fabricated into NPs and all presented an activity enhancement with their size reduction. Then the NPs were applied on tissues and detected by our technique. For the latter, different milk content concentrations were examined resulting with different STD values suggesting it can be used as indicator for the milk component concentrations. |
Databáze: | OpenAIRE |
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