A fully integrated, high-throughput, multi-parametric flow cytometry chip using “microfluidic drifting” based three-dimensional (3D) hydrodynamic focusing

Author(s):  
Xiaole Mao ◽  
Ahmad Ahsan Nawaz ◽  
Tony Jun Huang
Optica ◽  
2019 ◽  
Vol 6 (10) ◽  
pp. 1297 ◽  
Author(s):  
Yuanyuan Han ◽  
Rui Tang ◽  
Yi Gu ◽  
Alex Ce Zhang ◽  
Wei Cai ◽  
...  

2020 ◽  
Vol 14 (6) ◽  
pp. 064110
Author(s):  
Yogesh M. Patel ◽  
Sanidhya Jain ◽  
Abhishek Kumar Singh ◽  
Kedar Khare ◽  
Sarita Ahlawat ◽  
...  

2012 ◽  
Vol 6 (2) ◽  
pp. 024113 ◽  
Author(s):  
Xiaole Mao ◽  
Ahmad Ahsan Nawaz ◽  
Sz-Chin Steven Lin ◽  
Michael Ian Lapsley ◽  
Yanhui Zhao ◽  
...  

2018 ◽  
Vol 23 (7) ◽  
pp. 751-760
Author(s):  
Dominique R. Perez ◽  
Bruce S. Edwards ◽  
Larry A. Sklar ◽  
Alexandre Chigaev

Classical therapeutic regimens are subject to toxicity, low efficacy, and/or the development of drug resistance. Thus, the discovery of synergistic drug combinations would permit treatment with lower, tolerable dosages of each agent and restored sensitivity. We describe the development and use of the SynScreen software application, which allows for visual and mathematical determinations of compound concentrations that produce super-additive effects. This software uses nonlinear regression fits of dose responses to determine synergism by the Bliss independence and Loewe additivity analysis models. We demonstrate the utility of SynScreen with data analysis from in vitro high-throughput flow cytometry (HTFC) combination screens with repurposed drugs and multiplexed synergy analysis of multiple biologic parameters in parallel. The applicability of SynScreen was confirmed by testing open-source data sets used in published drug combination literature. A key benefit of SynScreen for high-throughput drug combination screening is that observed measurements are graphically depicted in comparison with a three-dimensional surface that represents the theoretical responses at which Bliss additivity would occur. These images and summary tables for the calculated drug interactions are automatically exported. This allows for substantial data sets to be visually assessed, expediting the quick identification of efficacious drug combinations and thereby facilitating the design of confirmatory studies and clinical trials.


2021 ◽  
Vol 118 (12) ◽  
pp. 123701
Author(s):  
Julie Martin-Wortham ◽  
Steffen M. Recktenwald ◽  
Marcelle G. M. Lopes ◽  
Lars Kaestner ◽  
Christian Wagner ◽  
...  

2021 ◽  
Vol 25 (3) ◽  
Author(s):  
Xiaofei Yuan ◽  
Andrew Glidle ◽  
Hitoshi Furusho ◽  
Huabing Yin

AbstractOptical-based microfluidic cell sorting has become increasingly attractive for applications in life and environmental sciences due to its ability of sophisticated cell handling in flow. The majority of these microfluidic cell sorting devices employ two-dimensional fluid flow control strategies, which lack the ability to manipulate the position of cells arbitrarily for precise optical detection, therefore resulting in reduced sorting accuracy and purity. Although three-dimensional (3D) hydrodynamic devices have better flow-focusing characteristics, most lack the flexibility to arbitrarily position the sample flow in each direction. Thus, there have been very few studies using 3D hydrodynamic flow focusing for sorting. Herein, we designed a 3D hydrodynamic focusing sorting platform based on independent sheath flow-focusing and pressure-actuated switching. This design offers many advantages in terms of reliable acquisition of weak Raman signals due to the ability to precisely control the speed and position of samples in 3D. With a proof-of-concept demonstration, we show this 3D hydrodynamic focusing-based sorting device has the potential to reach a high degree of accuracy for Raman activated sorting.


Cell Reports ◽  
2021 ◽  
Vol 34 (10) ◽  
pp. 108824
Author(s):  
Gregor Holzner ◽  
Bogdan Mateescu ◽  
Daniel van Leeuwen ◽  
Gea Cereghetti ◽  
Reinhard Dechant ◽  
...  

2019 ◽  
Vol 97 (8) ◽  
pp. 845-851 ◽  
Author(s):  
Annelisa M. Cornel ◽  
Celina L. Szanto ◽  
Niek P. Til ◽  
Jeroen F. Velzen ◽  
Jaap J. Boelens ◽  
...  

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