scholarly journals Programmable Functionalization of Surfactant‐Stabilized Microfluidic Droplets via DNA‐Tags

2019 ◽  
Vol 29 (23) ◽  
pp. 1808647 ◽  
Author(s):  
Kevin Jahnke ◽  
Marian Weiss ◽  
Christoph Frey ◽  
Silvia Antona ◽  
Jan‐Willi Janiesch ◽  
...  
Keyword(s):  
Microfluidic Droplets

scholarly journals Machine learning-aided quantification of antibody-based cancer immunotherapy by natural killer cells in microfluidic droplets

Lab on a Chip ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 2317-2327 ◽  
Author(s):  
Saheli Sarkar ◽  
Wenjing Kang ◽  
Songyao Jiang ◽  
Kunpeng Li ◽  
Somak Ray ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Natural Killer Cells ◽  
Nk Cells ◽  
Cancer Immunotherapy ◽  
Natural Killer ◽  
Proteomic Profiling ◽  
Target Interaction ◽  
Microfluidic Droplets ◽  
Neural Network Algorithm

Comparative proteomic profiling and development of convolution neural network algorithm for quantifying discrete target interaction by engineered NK cells in microfluidic droplets.

scholarly journals Genetic Selection for Small Molecule Production in Competitive Microfluidic Droplets

2019 ◽  
Vol 8 (8) ◽  
pp. 1737-1743 ◽  
Author(s):  
Larry J. Millet ◽  
Jessica M. Vélez ◽  
Joshua K. Michener
Keyword(s):  
Small Molecule ◽  
Genetic Selection ◽  
Microfluidic Droplets ◽  
Selection For ◽  
Molecule Production

scholarly journals Optical calorimetry in microfluidic droplets

Lab on a Chip ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 1581-1592 ◽  
Author(s):  
Jacob Chamoun ◽  
Ashish Pattekar ◽  
Farzaneh Afshinmanesh ◽  
Joerg Martini ◽  
Michael I. Recht
Keyword(s):  
Temperature Changes ◽  
Microfluidic Droplets

A novel microfluidic optical calorimeter that can measure millidegree Celsius temperature changes in sub-nanoliter droplets has been developed.

Optical fiber based light scattering detection in microfluidic droplets

2019 ◽  
Author(s):  
Shulin Wohlfeil ◽  
Sundar Hengoju ◽  
Anne-Sophie Munser ◽  
Miguel Tovar ◽  
Oksana Shvydkiv ◽  
...  
Keyword(s):  
Light Scattering ◽  
Optical Fiber ◽  
Microfluidic Droplets ◽  
Light Scattering Detection

One-step synthesis of spherical/nonspherical polymeric microparticles using non-equilibrium microfluidic droplets

RSC Advances ◽  
2014 ◽  
Vol 4 (26) ◽  
pp. 13557 ◽  
Author(s):  
Tsubasa Ono ◽  
Masumi Yamada ◽  
Yusuke Suzuki ◽  
Tatsuo Taniguchi ◽  
Minoru Seki
Keyword(s):  
Microfluidic Droplets ◽  
Polymeric Microparticles ◽  
One Step ◽  
Non Equilibrium

scholarly journals Self-Similar Relaxation of Confined Microfluidic Droplets

2019 ◽  
Vol 123 (2) ◽  
Author(s):  
Margaux Kerdraon ◽  
Joshua D. McGraw ◽  
Benjamin Dollet ◽  
Marie-Caroline Jullien
Keyword(s):  
Microfluidic Droplets ◽  
Self Similar

scholarly journals Measuring the pressures across microfluidic droplets with an optical tweezer

2012 ◽  
Vol 20 (22) ◽  
pp. 24450 ◽  
Author(s):  
Yuhang Jin ◽  
Antony Orth ◽  
Ethan Schonbrun ◽  
Kenneth B. Crozier
Keyword(s):  
Optical Tweezer ◽  
Microfluidic Droplets

Incorporating Stimuli-Responsive Bacteria in Microfluidic Droplets

2015 ◽  
Author(s):  
Kengelle Q. Chukwurah ◽  
Yaping Yang ◽  
Jian Wang ◽  
Yajun Yan ◽  
Eric C. Freeman
Keyword(s):  
Capillary Tube ◽  
Fluorescent Microscopy ◽  
Low Flow ◽  
Stimuli Responsive ◽  
Buffer Solution ◽  
Microfluidic Droplets ◽  
Cellular Environment ◽  
Droplet Interface Bilayer ◽  
Casamino Acids ◽  
Living Organisms

Model cellular membranes respond to chemical and electrical stimuli, regulating transport and exchange between two neighboring aqueous droplets. This regulated exchange may prove useful for controlling aqueous micro-environments for studying stimuli-responsive encapsulated bacteria. This concept is explored in this work, focusing on characterizing the bacterial response within a synthetic cellular environment. In the droplet interface bilayer (DIB) approach, aqueous micro-droplets deposited in an oil reservoir with dissolved lipids are coated with lipid monolayers and arranged into artificial cellular networks. This approach has been explored for potential use as a biologically-inspired smart material, but new material transduction pathways are necessary. This may be accomplished by combining this bottom-up approach to synthetic biology with living organisms such as stimuli-responsive bacteria. Bacteria encapsulation within the microfluidic droplets begins with a strain of Escherichia coli (E. coli), XL1-Blue. These flagellated bacteria naturally respond and move towards chemoattractants such as casamino acids, and their motion may be tracked through differential interference contrast (DIC) and fluorescent microscopy. Chemotaxis of XL1-Blue was assessed through low-flow perfusion of the chemoattractant (casamino acids) into a buffer solution containing the bacteria through a tailored capillary tube. Next, the response of bacteria within asymmetric DIB networks separating the bacteria and the chemoattractant were studied.

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