Investigation of shape memory of red blood cells using optical tweezers and quantitative phase microscopy

2012 ◽  
Author(s):  
Nelson Cardenas ◽  
Samarendra K. Mohanty
Keyword(s):  
Shape Memory ◽  
Red Blood Cells ◽  
Optical Tweezers ◽  
Blood Cells ◽  
Quantitative Phase ◽  
Phase Microscopy ◽  
Quantitative Phase Microscopy

scholarly journals Hydrodynamic Red Blood Cells Deformation by Quantitative Phase Microscopy and Zernike Polynomials

2019 ◽  
Vol 7 ◽  
Author(s):  
Pasquale Memmolo ◽  
Lisa Miccio ◽  
Francesco Merola ◽  
Martina Mugnano ◽  
Pietro Ferraro
Keyword(s):  
Red Blood Cells ◽  
Blood Cells ◽  
Zernike Polynomials ◽  
Quantitative Phase ◽  
Phase Microscopy ◽  
Quantitative Phase Microscopy

Quantitative phase microscopy of red blood cells with slightly-off-axis interference

2010 ◽  
Author(s):  
Liang Xue ◽  
Jian-cheng Lai ◽  
Zhen-hua Li
Keyword(s):  
Red Blood Cells ◽  
Blood Cells ◽  
Quantitative Phase ◽  
Phase Microscopy ◽  
Quantitative Phase Microscopy

scholarly journals Quantitative phase microscopy of red blood cells during planar trapping and propulsion

Lab on a Chip ◽  
2018 ◽  
Vol 18 (19) ◽  
pp. 3025-3036 ◽  
Author(s):  
Azeem Ahmad ◽  
Vishesh Dubey ◽  
Vijay Raj Singh ◽  
Jean-Claude Tinguely ◽  
Cristina Ionica Øie ◽  
...  
Keyword(s):  
Red Blood Cells ◽  
Blood Cells ◽  
Quantitative Phase ◽  
Phase Microscopy ◽  
Quantitative Phase Microscopy

Here, we have combined quantitative phase microscopy and waveguide trapping techniques to study changes in RBC morphology during planar trapping and transportation.

Optical tweezers assisted quantitative phase imaging led to thickness mapping of red blood cells

2013 ◽  
Vol 103 (1) ◽  
pp. 013703 ◽  
Author(s):  
Nelson Cardenas ◽  
Samarendra K. Mohanty
Keyword(s):  
Red Blood Cells ◽  
Optical Tweezers ◽  
Blood Cells ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

Abstract 5186: Label-free imaging identification of white blood cells using quantitative phase microscopy for negative selection of circulating tumor cells

2015 ◽  
Author(s):  
Yusuke Ozaki ◽  
Hidenao Iwai ◽  
Hirotoshi Kikuchi ◽  
Tomohiro Matsumoto ◽  
Shinichiro Miyazaki ◽  
...  
Keyword(s):  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Blood Cells ◽  
Negative Selection ◽  
White Blood Cells ◽  
Label Free ◽  
Quantitative Phase ◽  
Phase Microscopy ◽  
Quantitative Phase Microscopy ◽  
Selection Of

Quantitative phase microscopy for visualization, quantification and analysis oflive cells

2008 ◽  
Vol 36 (Supplement) ◽  
pp. 218-219
Author(s):  
Takahiro Ikeda
Keyword(s):  
Quantitative Phase ◽  
Phase Microscopy ◽  
Quantitative Phase Microscopy

scholarly journals Characterization of Liposomes Using Quantitative Phase Microscopy (QPM)

Pharmaceutics ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 590
Author(s):  
Jennifer Cauzzo ◽  
Nikhil Jayakumar ◽  
Balpreet Singh Ahluwalia ◽  
Azeem Ahmad ◽  
Nataša Škalko-Basnet
Keyword(s):  
Rapid Development ◽  
Fluorescent Labeling ◽  
Label Free ◽  
Batch Mode ◽  
Full Field ◽  
Quantitative Phase ◽  
Phase Microscopy ◽  
Quantitative Phase Microscopy ◽  
Tracking Ability

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.

scholarly journals Efficient quantitative phase microscopy using programmable annular LED illumination

2017 ◽  
Vol 8 (10) ◽  
pp. 4687 ◽  
Author(s):  
Jiaji Li ◽  
Qian Chen ◽  
Jialin Zhang ◽  
Yan Zhang ◽  
Linpeng Lu ◽  
...  
Keyword(s):  
Quantitative Phase ◽  
Phase Microscopy ◽  
Quantitative Phase Microscopy

Direct full compensation of the aberrations in quantitative phase microscopy of thin objects by a single digital hologram

2007 ◽  
Vol 90 (4) ◽  
pp. 041104 ◽  
Author(s):  
L. Miccio ◽  
D. Alfieri ◽  
S. Grilli ◽  
P. Ferraro ◽  
A. Finizio ◽  
...  
Keyword(s):  
Quantitative Phase ◽  
Digital Hologram ◽  
Phase Microscopy ◽  
Quantitative Phase Microscopy ◽  
Full Compensation
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