[1]
Y. Bai, E. Weibull, H.N. Joensson and H. Andersson-Svahn, Interfacing picoliter droplet microfluidics with addressable microliter compartments using fluorescence activated cell sorting, Sensors and Actuators B: Chemical, 194 (2014) 249-254.
DOI: 10.1016/j.snb.2013.12.089
Google Scholar
[2]
P. He, L. Xue, L. Zhang, Y. Qi, Y. Lu and E. Zhang, Intelligent analysis and simulative modeling on droplet scaling in biomicrofluidics, Future Computer and Information Technology, 86 (2014) 371-375.
DOI: 10.2495/icfcit130441
Google Scholar
[3]
Z. Dereli-Korkut, H.D. Akaydin, A.H.R. Ahmed, X. Jiang and S. Wang, Three Dimensional Microfluidic Cell Arrays for Ex Vivo Drug Screening with Mimicked Vascular Flow, Analytical Chemistry, (2014).
DOI: 10.1021/ac403899j
Google Scholar
[4]
S. Goyal, M.R. Thorson, C.L. Schneider, G.G.Z. Zhang, Y. Gong and P.J.A. Kenis, A Microfluidic Platform for Evaporation-based Salt Screening of Pharmaceutical Parent compounds, Lab on a Chip, 13 (2013) 1708-1723.
DOI: 10.1039/c3lc41271g
Google Scholar
[5]
A. Andar, R. Hood, W. Vreeland, D. DeVoe and P. Swaan, Microfluidic Preparation of Liposomes to Determine Particle Size Influence on Cellular Uptake Mechanisms, Pharmaceutical Research, 31 (2014) 401-413.
DOI: 10.1007/s11095-013-1171-8
Google Scholar
[6]
A.R. Dixon, S. Rajan, C. -H. Kuo, T. Bersano, R. Wold, N. Futai, S. Takayama and G. Mehta, Microfluidic device capable of medium recirculation for non-adherent cellculture, Biomicrofluidics, 8 (2014).
DOI: 10.1063/1.4865855
Google Scholar
[7]
H. Jeon, Y. Lee, S. Jin, S. Koo, C. -S. Lee and J. Yoo, Quantitative analysis of single bacterial chemotaxis using a linear concentration gradient microchannel, Biomedical Microdevices, 11 (2009) 1135-1143.
DOI: 10.1007/s10544-009-9330-8
Google Scholar
[8]
M.A. Khorshidi, P.K.P. Rajeswari, C. Wahlby, H.N. Joensson and H. Andersson Svahn, Automated analysis of dynamic behavior of single cells in picoliter droplets, Lab on a Chip, 14 931-937.
DOI: 10.1039/c3lc51136g
Google Scholar
[9]
J. Clausell-Tormos, D. Lieber, J. -C. Baret, A. El-Harrak, O.J. Miller, L. Frenz, J. Blouwolff, K.J. Humphry, S. Kaster, H. Duan, C. Holtze, D.A. Weitz, A.D. Griffiths and C.A. Merten, Droplet-Based Microfluidic Platforms for the Encapsulation and Screening of Mammalian Cells and Multicellular Organisms, Chemistry & Biology, 15 (2008).
DOI: 10.1016/j.chembiol.2008.08.004
Google Scholar
[10]
Z.L. X.L. H.P. Q.Y. L. Yumin, Intelligent numerical manipulation of micrometer-scale emulsions using polymer confinement, Advanced Materials Research, 813 (2013) 431-434.
DOI: 10.4028/www.scientific.net/amr.813.431
Google Scholar
[11]
P. Paik, V.K. Pamula, M.G. Pollack and R.B. Fair, Electrowetting-based droplet mixers for microfluidic systems, Lab on a Chip, 3 (2003) 28-33.
DOI: 10.1039/b307628h
Google Scholar
[12]
M.E. Spotnitz, D. Ryan and H.A. Stone, Dip coating for the alignment of carbon nanotubes on curved surfaces, Journal of Materials Chemistry, 14 (2004) 1299-1302.
DOI: 10.1039/b308548a
Google Scholar
[13]
A. Golberg, G. Linshiz, I. Kravets, N. Stawski, N.J. Hillson, M.L. Yarmush, R.S. Marks and T. Konry, Cloud-Enabled Microscopy and Droplet Microfluidic Platform for Specific Detection of Escherichia coli in Water, PLoS ONE, 9 (2014) e86341.
DOI: 10.1371/journal.pone.0086341
Google Scholar
[14]
S. -Y. Teh, R. Lin, L. -H. Hung and A.P. Lee, Droplet microfluidics, Lab on a Chip, 8 (2008) 198-220.
Google Scholar
[15]
P. He, L. Xue, Y. Qi, L. Zhang and Y. Lu, Artificial neural network(ANN)-based nonlinear optimization of modeling on biomicrofluidic vesicles generation, 9th international conference on natural computation, (2013) 267-271.
DOI: 10.1109/icnc.2013.6817983
Google Scholar
[16]
P. he, L. Xue, L. Zhang, Y. Qi and Y. Lu, Numerical information retrieval and modeling for small droplet samples, Advances in intelligent systems research, (2013) 697-699.
Google Scholar
[17]
H. Abdulla Yusuf, S.J. Baldock, R.W. Barber, P.R. Fielden, N.J. Goddard, S. Mohr and B.J. Treves Brown, Optimisation and analysis of microreactor designs for microfluidic gradient generation using a purpose built optical detection system for entire chip imaging, Lab on a Chip, 9 (2009).
DOI: 10.1039/b823101j
Google Scholar
[18]
L. Rosenfeld, T. Lin, R. Derda and S.Y. Tang, Review and analysis of performance metrics of droplet microfluidics systems, Microfluidics and Nanofluidics, (2014) 1-19.
DOI: 10.1007/s10404-013-1310-x
Google Scholar