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An Automated Microfluidic System for Morphological Measurement and Size-Based Sorting of C. Elegans
- Source :
- IEEE Transactions on NanoBioscience. 18:373-380
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- This paper reports a vision-based automated microfluidic system for morphological measurement and size-based sorting of the nematode worm C. elegans . Exceeding the capabilities of conventional worm sorting microfluidic devices purely relying on passive sorting mechanisms, our system is capable of accurate measurement of the worm length/width and active sorting of worms with the desired sizes from a mixture of worms with different body sizes. This function is realized based on the combination of real-time, vision-based worm detection and sizing algorithms and automated on-chip worm manipulation. A double-layer microfluidic device with computer-controlled pneumatic valves is developed for sequential loading, trapping, vision-based sizing, and sorting of single worms. To keep the system operation robust, vision-based algorithms on detecting multi-worm loading and worm sizing failure have also been developed. We conducted sorting experiments on 319 worms and achieved an average sorting speed of 10.4 worms per minute (5.8 s/worm) with an operation success rate of 90.3%. This system will facilitate the worm biology studies where body size measurement and size-based sorting of many worms are needed.
- Subjects :
- Software_OPERATINGSYSTEMS
Microfluidics
Biomedical Engineering
Pharmaceutical Science
Medicine (miscellaneous)
Bioengineering
02 engineering and technology
Size measurement
Body size
Culture Techniques
Image Processing, Computer-Assisted
Animals
Electrical and Electronic Engineering
Caenorhabditis elegans
business.industry
Sorting
Equipment Design
Microfluidic Analytical Techniques
021001 nanoscience & nanotechnology
Sizing
Computer Science Applications
Nematode worm
ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS
Grippers
0210 nano-technology
business
Algorithms
Computer hardware
Biotechnology
Subjects
Details
- ISSN :
- 15582639 and 15361241
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on NanoBioscience
- Accession number :
- edsair.doi.dedup.....6d9824b1f7acc19431598e41be5bf0d1
- Full Text :
- https://doi.org/10.1109/tnb.2019.2904009