Statistical detection of nanoparticles in cells by darkfield microscopy. Issue 7 (July 2016)
- Record Type:
- Journal Article
- Title:
- Statistical detection of nanoparticles in cells by darkfield microscopy. Issue 7 (July 2016)
- Main Title:
- Statistical detection of nanoparticles in cells by darkfield microscopy
- Authors:
- Gnerucci, Alessio
Romano, Giovanni
Ratto, Fulvio
Centi, Sonia
Baccini, Michela
Santosuosso, Ugo
Pini, Roberto
Fusi, Franco - Abstract:
- Highlights: Use of nanoparticles as contrast agents for medical diagnosis and therapy. Innovative method to detect nanoparticle presence in eukaryote cells is proposed. The method is based on enhancement of nanoparticle contrast. Contrast is enhanced by darkfield micro-spectroscopy technique and image analysis. Statistical tests are applied to quantify the sensitivity of the detection method. Abstract: In the fields of nanomedicine, biophotonics and radiation therapy, nanoparticle (NP) detection in cell models often represents a fundamental step for many in vivo studies. One common question is whether NPs have or have not interacted with cells. In this context, we propose an imaging based technique to detect the presence of NPs in eukaryotic cells. Darkfield images of cell cultures at low magnification (10×) are acquired in different spectral ranges and recombined so as to enhance the contrast due to the presence of NPs. Image analysis is applied to extract cell-based parameters (i.e. mean intensity), which are further analyzed by statistical tests (Student's t -test, permutation test) in order to obtain a robust detection method. By means of a statistical sample size analysis, the sensitivity of the whole methodology is quantified in terms of the minimum cell number that is needed to identify the presence of NPs. The method is presented in the case of HeLa cells incubated with gold nanorods labeled with anti-CA125 antibodies, which exploits the overexpression of CA125 inHighlights: Use of nanoparticles as contrast agents for medical diagnosis and therapy. Innovative method to detect nanoparticle presence in eukaryote cells is proposed. The method is based on enhancement of nanoparticle contrast. Contrast is enhanced by darkfield micro-spectroscopy technique and image analysis. Statistical tests are applied to quantify the sensitivity of the detection method. Abstract: In the fields of nanomedicine, biophotonics and radiation therapy, nanoparticle (NP) detection in cell models often represents a fundamental step for many in vivo studies. One common question is whether NPs have or have not interacted with cells. In this context, we propose an imaging based technique to detect the presence of NPs in eukaryotic cells. Darkfield images of cell cultures at low magnification (10×) are acquired in different spectral ranges and recombined so as to enhance the contrast due to the presence of NPs. Image analysis is applied to extract cell-based parameters (i.e. mean intensity), which are further analyzed by statistical tests (Student's t -test, permutation test) in order to obtain a robust detection method. By means of a statistical sample size analysis, the sensitivity of the whole methodology is quantified in terms of the minimum cell number that is needed to identify the presence of NPs. The method is presented in the case of HeLa cells incubated with gold nanorods labeled with anti-CA125 antibodies, which exploits the overexpression of CA125 in ovarian cancers. Control cases are considered as well, including PEG-coated NPs and HeLa cells without NPs. … (more)
- Is Part Of:
- Physica medica. Volume 32:Issue 7(2016)
- Journal:
- Physica medica
- Issue:
- Volume 32:Issue 7(2016)
- Issue Display:
- Volume 32, Issue 7 (2016)
- Year:
- 2016
- Volume:
- 32
- Issue:
- 7
- Issue Sort Value:
- 2016-0032-0007-0000
- Page Start:
- 938
- Page End:
- 943
- Publication Date:
- 2016-07
- Subjects:
- Darkfield microscopy -- Gold nanoparticles -- Image analysis -- Statistical test
Medical physics -- Periodicals
Biophysics -- Periodicals
Biophysics -- Periodicals
Imagerie médicale -- Périodiques
Radiothérapie -- Périodiques
Rayons X -- Sécurité -- Mesures -- Périodiques
Physique -- Périodiques
Médecine -- Périodiques
610.153 - Journal URLs:
- http://www.sciencedirect.com/science/journal/11201797 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/11201797 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/11201797 ↗
http://www.elsevier.com/journals ↗
http://www.physicamedica.com ↗ - DOI:
- 10.1016/j.ejmp.2016.06.007 ↗
- Languages:
- English
- ISSNs:
- 1120-1797
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6475.070000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 517.xml