Optofluidic time-stretch quantitative phase microscopy for high-throughput label-free single-cell analysis (Conference Presentation)

2017 ◽  
Author(s):  
Baoshan Guo ◽  
Cheng Lei ◽  
Takuro Ito ◽  
Yiyue Jiang ◽  
Yasuyuki Ozeki ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Label Free ◽  
Quantitative Phase ◽  
Phase Microscopy ◽  
Quantitative Phase Microscopy

scholarly journals Large-scale label-free single-cell analysis of paramylon in Euglena gracilis by high-throughput broadband Raman flow cytometry

2020 ◽  
Vol 11 (4) ◽  
pp. 1752 ◽  
Author(s):  
Kotaro Hiramatsu ◽  
Koji Yamada ◽  
Matthew Lindley ◽  
Kengo Suzuki ◽  
Keisuke Goda
Keyword(s):  
Flow Cytometry ◽  
Single Cell ◽  
High Throughput ◽  
Euglena Gracilis ◽  
Large Scale ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Label Free

scholarly journals Towards high-throughput microfluidic Raman-activated cell sorting

The Analyst ◽  
2015 ◽  
Vol 140 (18) ◽  
pp. 6163-6174 ◽  
Author(s):  
Qiang Zhang ◽  
Peiran Zhang ◽  
Honglei Gou ◽  
Chunbo Mou ◽  
Wei E. Huang ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Cell Sorting ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Label Free ◽  
Non Invasive

Raman-activated cell sorting (RACS) is a promising single-cell analysis technology that is able to identify and isolate individual cells of targeted type, state or environment from an isogenic population or complex consortium of cells, in a label-free and non-invasive manner.

High-throughput label-free screening of euglena gracilis with optofluidic time-stretch quantitative phase microscopy

2017 ◽  
Author(s):  
Baoshan Guo ◽  
Cheng Lei ◽  
Takuro Ito ◽  
Yalikun Yaxiaer ◽  
Hirofumi Kobayashi ◽  
...  
Keyword(s):  
High Throughput ◽  
Euglena Gracilis ◽  
Label Free ◽  
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 High-throughput and high-dimensional single-cell analysis of antigen-specific CD8+ T cells

2021 ◽  
Author(s):  
Ke-Yue Ma ◽  
Alexandra A. Schonnesen ◽  
Chenfeng He ◽  
Amanda Y. Xia ◽  
Eric Sun ◽  
...  
Keyword(s):  
T Cells ◽  
Single Cell ◽  
High Throughput ◽  
Cd8 T Cells ◽  
Single Cell Analysis ◽  
High Dimensional ◽  
Cell Analysis
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