journal article·2020-08

Characterization, Manipulation, and Isolation of Paramecium aurelia Using a Micro‐Electromigration Chip and Computer Vision

Ashaa Preyadharishini Shunmugam, Javier G. Fernandez

Advanced Materials Technologies· Volume 5· Issue 8
Publisher page

Abstract

Abstract Manipulating microorganisms with inherent motility is a challenging yet significant aim with implications in many biological, environmental, and technological applications. Many microorganisms that are broadly available in nature can be used as self‐powered systems that can be directed with external stimuli. Paramecium is a unicellular protozoan that exhibits a negative galvanotaxis where the cell follows the direction of weak electric fields. Here, the galvanotactic behavior of Paramecia is studied to achieve the precise manipulation of these organisms. Using a specially devised microfluidic chip and computer vision, unprecedented levels of manipulation and isolation of Paramecia are demonstrated, enabling their integration, use, and study in micro‐electromechanical systems.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Protist diversity and phylogeny · Micro and Nano Robotics · Modular Robots and Swarm Intelligence

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Engineering Product Development Singapore University of Technology and Design 8 Somapah Road Singapore 487372 Singapore

Funding

Ministry of Education - Singapore

References (30)

Show source-provided references
1. Fearing R. S. · 1991
2. 10.1038/s41396-018-0341-410.1038/s41396-018-0341-4 ↗
3. 10.1016/j.ejop.2018.12.00510.1016/j.ejop.2018.12.005 ↗
4. 10.1111/j.1432-1033.1996.0121q.x10.1111/j.1432-1033.1996.0121q.x ↗
5. 10.1038/nature0523010.1038/nature05230 ↗
6. 10.1101/57357610.1101/573576 ↗
7. 10.1111/j.1558-5646.2011.01388.x10.1111/j.1558-5646.2011.01388.x ↗
8. 10.1093/oso/9780198546412.001.000110.1093/oso/9780198546412.001.0001 ↗
9. 10.1016/j.dnarep.2019.03.01110.1016/j.dnarep.2019.03.011 ↗
10. 10.1083/jcb.88.2.30110.1083/jcb.88.2.301 ↗
11. 10.1111/j.1550-7408.1995.tb01544.x10.1111/j.1550-7408.1995.tb01544.x ↗
12. 10.1038/s41396-019-0433-910.1038/s41396-019-0433-9 ↗
13. 10.1111/j.1365-2656.2007.01252.x10.1111/j.1365-2656.2007.01252.x ↗
14. 10.1111/j.1550-7408.2003.tb00137.x10.1111/j.1550-7408.2003.tb00137.x ↗
15. 10.1007/s11284-006-0181-y10.1007/s11284-006-0181-y ↗
16. 10.1166/asem.2019.233210.1166/asem.2019.2332 ↗
17. 10.1248/jhs.49.42910.1248/jhs.49.429 ↗
18. 10.1016/j.pbiomolbio.2018.08.00210.1016/j.pbiomolbio.2018.08.002 ↗
19. 10.1002/jez.140113010610.1002/jez.1401130106 ↗
20. 10.1016/S0091-679X(08)61751-310.1016/S0091-679X(08)61751-3 ↗
21. 10.1111/j.1550-7408.1978.tb03884.x10.1111/j.1550-7408.1978.tb03884.x ↗
22. 10.1073/pnas.35.3.15510.1073/pnas.35.3.155 ↗
23. 10.1086/physzool.25.4.3015212710.1086/physzool.25.4.30152127 ↗
24. 10.1111/j.1574-6968.1986.tb01729.x10.1111/j.1574-6968.1986.tb01729.x ↗
25. 10.1073/pnas.35.3.15510.1073/pnas.35.3.155 ↗
26. 10.1109/3516.84709110.1109/3516.847091 ↗
27. 10.1039/C0LC00399A10.1039/C0LC00399A ↗
28. Otsuka K. · 2014
29. 10.1016/j.biosystems.2017.04.00110.1016/j.biosystems.2017.04.001 ↗
30. Kawano T. · 2014