scholarly journals Optically computed phase microscopy for quantitative dynamic imaging of label-free cells and nanoparticles

2021 ◽  
Author(s):  
Xuan Liu ◽  
Zhaoxiong Wan ◽  
Yuanwei Zhang ◽  
yuwei liu
Keyword(s):  
Dynamic Imaging ◽  
Label Free ◽  
Phase Microscopy ◽  
Free Cells

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 Spectral-domain optical coherence phase microscopy for label-free multiplexed protein microarray assay

2009 ◽  
Vol 25 (2) ◽  
pp. 275-281 ◽  
Author(s):  
Chulmin Joo ◽  
Emre Özkumur ◽  
M. Selim Ünlü ◽  
Johannes F. de Boer
Keyword(s):  
Protein Microarray ◽  
Spectral Domain ◽  
Optical Coherence ◽  
Label Free ◽  
Microarray Assay ◽  
Phase Microscopy

scholarly journals Correction to Plasmon-Enhanced Autofluorescence Imaging of Organelles in Label-Free Cells by Deep-Ultraviolet Excitation

2016 ◽  
Vol 88 (8) ◽  
pp. 4580-4580
Author(s):  
Masakazu Kikawada ◽  
Atsushi Ono ◽  
Wataru Inami ◽  
Yoshimasa Kawata
Keyword(s):  
Autofluorescence Imaging ◽  
Label Free ◽  
Ultraviolet Excitation ◽  
Free Cells ◽  
Deep Ultraviolet

Novel Label-Free Cells Structure Detection Method Study Based on Mie Scattering Principle

2012 ◽  
Vol 591-593 ◽  
pp. 1800-1804
Author(s):  
Lu Zhang ◽  
Zong Yao Li ◽  
Hong Zhao ◽  
Wei Chen ◽  
Li Yuan ◽  
...  
Keyword(s):  
Light Intensity ◽  
Incident Angle ◽  
Mie Scattering ◽  
Label Free ◽  
Structure Information ◽  
Scattering Spectrum ◽  
Structure Detection ◽  
Free Cells ◽  
Important Diagnostic Tool ◽  
Health Situation

Cell health situation relates to its inter structures closely. Cell scattering measurement can be a non-invasive measurement method to obtain cells structure information. But normal scattering detection by original scattering spectrum can not identify cells inner structure changing, such as nucleus radii difference. Traditional scattering spectrum analysis method for identifying cells is to plot the forward scattering (FS) light intensity against side scattering (SS) light intensity. Overlapping phenomenon always occurs which leads to serious error or even mistakes in cells identification results. The Novel even scattering angle superposition algorithm and even incident angle superposition algorithm are put forward herein. In this way, the same kind of cells with different inner structures can be effectively distinguished. The rapid, convenient and label-free cells assorting and detecting can be therefore well accomplished, and these novel methods could be a kind of important diagnostic tool in cancer or other malignant cells diagnosis.

Tomographic phase microscopy for label-free imaging in biomedicine

2018 ◽  
Author(s):  
P. Ferraro ◽  
F. Merola ◽  
P. Memmolo ◽  
L. Miccio ◽  
M. Mugnano ◽  
...  
Keyword(s):  
Label Free ◽  
Phase Microscopy
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