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Moving shot, an affordable and high-throughput setup for direct imaging of fast-moving microdroplets

  • Ali Mehrnezhad
  • Tae Joon Kwak
  • Sunkook Kim
  • Woo-Jin Chang
  • Kidong Park
Technical Paper
  • 26 Downloads

Abstract

Droplet microfluidics have a great potential in chemical and biomedical applications, due to their high throughput, versatility, and massive parallelism. To enhance their throughput, many devices based on the droplet microfluidics are using a flow-through configuration, in which the droplets are generated, transported, and analyzed in a continuous stream with a high velocity. Direct imaging of moving droplets is often necessary to characterize the spatiotemporal dynamics of the chemical reaction and physical process in the droplets. However, due to the motion blur caused by the movement of the droplets during exposure, an expensive high-speed camera is required for clear imaging, which is cost prohibitive in many applications. In this paper, we are presenting ‘Moving shot’ to demonstrate direct imaging of fast-moving droplets in microfluidic channels at an affordable cost. A microfluidic device is translated at the same velocity but in the opposite direction of moving droplets in it, so that the droplets are stationary with respect to the objective lens. With this approach, we can image fluorescent droplets moving at 0.34 cm s−1 with an exposure time up to 2 s without motion blur. We strongly believe that the proposed technique can enable cost-effective and high-throughput imaging of fast-moving droplets in a microfluidic channel.

Notes

Acknowledgments

A. Mehrnezhad was supported from the Louisiana Board of Regents (LEQSF (2014-17)-RD-A-05).

Compliance with ethical standards

Conflict of interest

The authors declare that there is no conflict of interest regarding the publication of this article.

Supplementary material

542_2018_4272_MOESM1_ESM.docx (288 kb)
Supplementary material 1 (DOCX 288 kb) A scheme to sequentially characterize entire microdroplets is presented

References

  1. Basova EY, Foret F (2015) Droplet microfluidics in (bio)chemical analysis. Analyst 140:22–38.  https://doi.org/10.1039/c4an01209g CrossRefGoogle Scholar
  2. Collins DJ, Neild A, deMello A, Liu AQ, Ai Y (2015) The Poisson distribution and beyond: methods for microfluidic droplet production and single cell encapsulation. Lab Chip 15:3439–3459.  https://doi.org/10.1039/c5lc00614g CrossRefGoogle Scholar
  3. Dressler OJ, Maceiczyk RM, Chang SI, deMello AJ (2014) Droplet-based microfluidics: enabling impact on drug discovery. J Biomol Screen 19:483–496.  https://doi.org/10.1177/1087057113510401 CrossRefGoogle Scholar
  4. Elvira KS, Casadevall i Solvas X, Wootton RC, de Mello AJ (2013) The past, present and potential for microfluidic reactor technology in chemical synthesis. Nat Chem 5:905–915.  https://doi.org/10.1038/nchem.1753 CrossRefGoogle Scholar
  5. Fallah-Araghi A et al (2014) Enhanced chemical synthesis at soft interfaces: a universal reaction-adsorption mechanism in microcompartments. Phys Rev Lett 112:028301.  https://doi.org/10.1103/PhysRevLett.112.028301 CrossRefGoogle Scholar
  6. Kim HS et al (2017) High-throughput droplet microfluidics screening platform for selecting fast-growing and high lipid-producing microalgae from a mutant library. Plant Direct 1:e00011.  https://doi.org/10.1002/pld3.11 CrossRefGoogle Scholar
  7. Korczyk PM, Dolega ME, Jakiela S, Jankowski P, Makulska S, Garstecki P (2015) Scaling up the throughput of synthesis and extraction in droplet microfluidic reactors. J Flow Chem 5:110–118.  https://doi.org/10.1556/jfc-d-14-00038 CrossRefGoogle Scholar
  8. Kwak TJ, Nam YG, Najera MA, Lee SW, Strickler JR, Chang WJ (2016) Convex grooves in staggered herringbone mixer improve mixing efficiency of laminar flow in microchannel. PLoS One 11:e0166068.  https://doi.org/10.1371/journal.pone.0166068 CrossRefGoogle Scholar
  9. Leibacher I, Reichert P, Dual J (2015) Microfluidic droplet handling by bulk acoustic wave (BAW) acoustophoresis. Lab Chip 15:2896–2905.  https://doi.org/10.1039/c5lc00083a CrossRefGoogle Scholar
  10. Mashaghi S, van Oijen AM (2016) Droplet microfluidics for kinetic studies of viral fusion. Biomicrofluidics 10:024102.  https://doi.org/10.1063/1.4943126 CrossRefGoogle Scholar
  11. Mashaghi S, Abbaspourrad A, Weitz DA, van Oijen AM (2016) Droplet microfluidics: a tool for biology, chemistry and nanotechnology. TrAC Trends Analyt Chem 82:118–125CrossRefGoogle Scholar
  12. Mazutis L, Gilbert J, Ung WL, Weitz DA, Griffiths AD, Heyman JA (2013) Single-cell analysis and sorting using droplet-based microfluidics. Nat Protoc 8:870–891.  https://doi.org/10.1038/nprot.2013.046 CrossRefGoogle Scholar
  13. Nakajima N, Yamada M, Kakegawa S, Seki M (2016) Microfluidic system enabling multistep tuning of extraction time periods for kinetic analysis of droplet-based liquid-liquid extraction. Anal Chem 88:5637–5643.  https://doi.org/10.1021/acs.analchem.6b00176 CrossRefGoogle Scholar
  14. Nge PN, Rogers CI, Woolley AT (2013) Advances in microfluidic materials, functions, integration, and applications. Chem Rev 113:2550–2583.  https://doi.org/10.1021/cr300337x CrossRefGoogle Scholar
  15. Nightingale AM, Phillips TW, Bannock JH, de Mello JC (2014) Controlled multistep synthesis in a three-phase droplet reactor. Nat Commun 5:3777.  https://doi.org/10.1038/ncomms4777 CrossRefGoogle Scholar
  16. Oh J-Y (2016) Method and system for compensating for image blur by moving image sensor. US Patent No 9,420,185Google Scholar
  17. Popova AA et al (2017) Evaluation of the droplet-microarray platform for high-throughput screening of suspension cells. SLAS Technol 22:163–175.  https://doi.org/10.1177/2211068216677204 CrossRefGoogle Scholar
  18. Reece A, Xia B, Jiang Z, Noren B, McBride R, Oakey J (2016) Microfluidic techniques for high throughput single cell analysis. Curr Opin Biotechnol 40:90–96.  https://doi.org/10.1016/j.copbio.2016.02.015 CrossRefGoogle Scholar
  19. Schneider T, Kreutz J, Chiu DT (2013) The potential impact of droplet microfluidics in biology. Anal Chem 85:3476–3482.  https://doi.org/10.1021/ac400257c CrossRefGoogle Scholar
  20. Sesen M, Alan T, Neild A (2014) Microfluidic on-demand droplet merging using surface acoustic waves. Lab Chip 14:3325–3333.  https://doi.org/10.1039/c4lc00456f CrossRefGoogle Scholar
  21. Sesen M, Alan T, Neild A (2017) Droplet control technologies for microfluidic high throughput screening (muHTS). Lab Chip 17:2372–2394.  https://doi.org/10.1039/c7lc00005g CrossRefGoogle Scholar
  22. Shang L, Cheng Y, Zhao Y (2017) Emerging Droplet Microfluidics. Chem Rev 117:7964–8040.  https://doi.org/10.1021/acs.chemrev.6b00848 CrossRefGoogle Scholar
  23. Simpson C, Lee SS, Lee C-S, Yamauchi Y (2018) Microfluidics: an untapped resource in viral diagnostics and viral cell biology. Curr Clin Microbiol Rep.  https://doi.org/10.1007/s40588-018-0105-y CrossRefGoogle Scholar
  24. Srinivasan B, Tung S (2015) Development and applications of portable biosensors. J Lab Autom 20:365–389.  https://doi.org/10.1177/2211068215581349 CrossRefGoogle Scholar
  25. Wen N, Zhao Z, Fan B, Chen D, Men D, Wang J, Chen J (2016) Development of droplet microfluidics enabling high-throughput single-cell analysis. Molecules.  https://doi.org/10.3390/molecules21070881 CrossRefGoogle Scholar
  26. Yesiloz G, Boybay MS, Ren CL (2017) Effective thermo-capillary mixing in droplet microfluidics integrated with a microwave heater. Anal Chem 89:1978–1984.  https://doi.org/10.1021/acs.analchem.6b04520 CrossRefGoogle Scholar
  27. Yoon DH et al (2014) Active microdroplet merging by hydrodynamic flow control using a pneumatic actuator-assisted pillar structure. Lab Chip 14:3050–3055.  https://doi.org/10.1039/c4lc00378k CrossRefGoogle Scholar
  28. Zhu Y, Fang Q (2013) Analytical detection techniques for droplet microfluidics—a review. Anal Chim Acta 787:24–35.  https://doi.org/10.1016/j.aca.2013.04.064 CrossRefGoogle Scholar
  29. Zilionis R, Nainys J, Veres A, Savova V, Zemmour D, Klein AM, Mazutis L (2017) Single-cell barcoding and sequencing using droplet microfluidics. Nat Protoc 12:44–73.  https://doi.org/10.1038/nprot.2016.154 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Division of Electrical and Computer EngineeringLouisiana State UniversityBaton RougeUSA
  2. 2.Mechanical Engineering DepartmentUniversity of Wisconsin-MilwaukeeMilwaukeeUSA
  3. 3.School of Advanced Materials Science and EngineeringSungkyunkwan UniversitySuwonRepublic of Korea
  4. 4.School of Freshwater SciencesUniversity of Wisconsin-MilwaukeeMilwaukeeUSA

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