Reduction of the influence of parasitic interferences and coherence induced disturbances in digital holography-based quantitative phase microscopy by modulation of the object illumination with an electrically focus tunable lens

Author(s):  
Björn Kemper ◽  
Álvaro Barroso ◽  
Kai Eder ◽  
Anne Marzi ◽  
Sabrina Ritz ◽  
...  
2012 ◽  
Vol 51 (9) ◽  
pp. 1387 ◽  
Author(s):  
Bhargab Das ◽  
Chandra S. Yelleswarapu ◽  
D. V. G. L. N. Rao

2007 ◽  
Vol 15 (6) ◽  
pp. 3047 ◽  
Author(s):  
Kevin J. Chalut ◽  
William J. Brown ◽  
Adam Wax

2006 ◽  
Author(s):  
P. Ferraro ◽  
D. Alfieri ◽  
S. De Nicola ◽  
L. De Petrocellis ◽  
A. Finizio ◽  
...  

Pharmaceutics ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 590
Author(s):  
Jennifer Cauzzo ◽  
Nikhil Jayakumar ◽  
Balpreet Singh Ahluwalia ◽  
Azeem Ahmad ◽  
Nataša Škalko-Basnet

The rapid development of nanomedicine and drug delivery systems calls for new and effective characterization techniques that can accurately characterize both the properties and the behavior of nanosystems. Standard methods such as dynamic light scattering (DLS) and fluorescent-based assays present challenges in terms of system’s instability, machine sensitivity, and loss of tracking ability, among others. In this study, we explore some of the downsides of batch-mode analyses and fluorescent labeling, while introducing quantitative phase microscopy (QPM) as a label-free complimentary characterization technique. Liposomes were used as a model nanocarrier for their therapeutic relevance and structural versatility. A successful immobilization of liposomes in a non-dried setup allowed for static imaging conditions in an off-axis phase microscope. Image reconstruction was then performed with a phase-shifting algorithm providing high spatial resolution. Our results show the potential of QPM to localize subdiffraction-limited liposomes, estimate their size, and track their integrity over time. Moreover, QPM full-field-of-view images enable the estimation of a single-particle-based size distribution, providing an alternative to the batch mode approach. QPM thus overcomes some of the drawbacks of the conventional methods, serving as a relevant complimentary technique in the characterization of nanosystems.


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