http://www.cnr.it/ontology/cnr/individuo/prodotto/ID316235
Automatic Image Detection of Halloysite Clay Nanotubes as a Future Ultrasound Theranostic Agent for Tumoral Cell Targeting and Treatment (Contributo in atti di convegno)
- Type
- Label
- Automatic Image Detection of Halloysite Clay Nanotubes as a Future Ultrasound Theranostic Agent for Tumoral Cell Targeting and Treatment (Contributo in atti di convegno) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Alternative label
Casciaro, Sergio; Soloperto, Giulia; Conversano, Francesco; Casciaro, Ernesto; Greco, Antonio; Leporatti, Stefano; Lay-Ekuakille, Aime; Gigli, Giuseppe (2014)
Automatic Image Detection of Halloysite Clay Nanotubes as a Future Ultrasound Theranostic Agent for Tumoral Cell Targeting and Treatment
in 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Montevideo (Uruguay), 12-15 Maggio 2014
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Casciaro, Sergio; Soloperto, Giulia; Conversano, Francesco; Casciaro, Ernesto; Greco, Antonio; Leporatti, Stefano; Lay-Ekuakille, Aime; Gigli, Giuseppe (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Proceedings of the 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- National Research Council, Institute of Clinical Physiology, Lecce, Italy; National Council of Research, Institute of Nanosciences, Lecce, Italy; Department of Innovation Engineering, University of Salento, Lecce, Italy. (literal)
- Titolo
- Automatic Image Detection of Halloysite Clay Nanotubes as a Future Ultrasound Theranostic Agent for Tumoral Cell Targeting and Treatment (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4673-6386-0 (literal)
- Abstract
- Halloysite clay Nanotubes (HNTs) are nanomaterials composed of double layered aluminosilicate minerals with a hollow tubular structure in the submicron range. They are characterized by a wide range of applications in anticancer therapy as agent delivery. In this work we aim to investigate the automatic detection features of HNTs through advanced quantitative ultrasound imaging employing different concentrations (3-5 mg/mL) at clinical conventional frequency, i.e. 7 MHz. Different tissue mimicking samples of HNT containing agarose gel were imaged through a commercially available echographic system, that was opportunely combined with ultrasound signal analysis research platform for extracting the raw ultrasound radiofrequency (RF) signals. Acquired data were stored and analyzed by means of an in-house developed algorithm based on wavelet decomposition, in order to identify the specific spectrum contribution of the HNTs and generate corresponding image mapping. Sensitivity and specificity of the HNT detection were quantified. Average specificity (94.36%) was very high with reduced dependency on HNT concentration, while sensitivity showed a proportional increase with concentration with an average of 46.78%. However, automatic detection performances are currently under investigation for further improvement taking into account image enhancement and biocompatibility issues. (literal)
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