Single molecule and cell manipulation in soft microfluidic devices

Author(s):  
S. Quake
2001 ◽  
Vol 22 (18) ◽  
pp. 3939-3948 ◽  
Author(s):  
Musundi B. Wabuyele ◽  
Sean M. Ford ◽  
Wieslaw Stryjewski ◽  
James Barrow ◽  
Steven A. Soper

2006 ◽  
Vol 387 (1) ◽  
pp. 9-12 ◽  
Author(s):  
Gregory T. Roman ◽  
Yanli Chen ◽  
Pernilla Viberg ◽  
Anne H. Culbertson ◽  
Christopher T. Culbertson

2018 ◽  
Vol 18 (01) ◽  
pp. 1850002 ◽  
Author(s):  
ALI LASHKARIPOUR ◽  
ALI ABOUEI MEHRIZI ◽  
MASOUD GOHARIMANESH ◽  
MOHAMMADREZA RASOULI ◽  
SAJAD RAZAVI BAZAZ

Versatility and portability of microfluidic devices play a dominant role in their widespread use by researchers. Droplet-based microfluidic devices have been extensively used due to their precise control over sample volume, and ease of manipulating and addressing each droplet on demand. Droplet-based polymerase chain reaction (PCR) devices are particularly desirable in single DNA amplification. If the droplets are small enough to contain only one DNA molecule, single molecule amplification becomes possible, which can be advantageous in several cases such as early cancer detection. In this work, flow-focusing microfluidic droplet generation’s parameters are numerically investigated and optimized for generating the smallest droplet possible, while considering fabrication limits. Taguchi design of experiment method is used to study the effects of key parameters in droplet generation. By exploiting this approach, a droplet with a radius of 111[Formula: see text]nm is generated using a 3[Formula: see text][Formula: see text]m orifice. Since the governing physics of the droplet generation process is not totally understood yet, by means of analysis of variance (ANOVA) analysis, a generalized linear model (GLM) is proposed to predict the droplet radius, given the values of eight major parameters affecting the droplet size. The proposed model shows a correlation of 95.3% and 64.95% for droplets of radius greater than and lower than 5[Formula: see text][Formula: see text]m, respectively. Finally, the source of this variation of behavior in different size scales is identified.


Author(s):  
Sagar Chowdhury ◽  
Petr Svec ◽  
Chenlu Wang ◽  
Kevin T. Seale ◽  
John P. Wikswo ◽  
...  

Microfluidic devices are well suited for the study of biological objects because of their indirect nature of manipulation and high throughput. However, the cell manipulation process solely depends on the fluid flow and hence precise control is difficult to attain inside a microfluidic chamber. Utilizing optical tweezers as a complementary tool provides precise manipulation control. We have presented an automated cell manipulation approach using optical tweezers operating inside a microfluidic chamber. To test and demonstrate the effectiveness of the approach we have developed a physics-based simulator that is completely automated and allows high precision of manipulation.


2011 ◽  
Vol 100 (3) ◽  
pp. 256a
Author(s):  
Kai Zhang ◽  
Yasuko Osakada ◽  
Marija Vrljic ◽  
Liang Chen ◽  
Harsha V. Mudrakola ◽  
...  

Small ◽  
2018 ◽  
Vol 14 (17) ◽  
pp. 1800229 ◽  
Author(s):  
Miao Yu ◽  
Youmin Hou ◽  
Ruyuan Song ◽  
Xiaonan Xu ◽  
Shuhuai Yao

2005 ◽  
Vol 26 (19) ◽  
pp. 3689-3696 ◽  
Author(s):  
Wibke Hellmich ◽  
Christoph Pelargus ◽  
Kai Leffhalm ◽  
Alexandra Ros ◽  
Dario Anselmetti

Sign in / Sign up

Export Citation Format

Share Document