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Issue 10, 2020
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Fluorescence-based sorting of Caenorhabditis elegans via acoustofluidics

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Abstract

Effectively isolating and categorizing large quantities of Caenorhabditis elegans (C. elegans) based on different phenotypes is important for most worm research, especially genetics. Here we present an integrated acoustofluidic chip capable of identifying worms of interest based on expression of a fluorescent protein in a continuous flow and then separate them accordingly in a high-throughput manner. Utilizing planar fiber optics as the detection unit, our acoustofluidic device requires no temporary immobilization of worms for interrogation/detection, thereby improving the throughput. Implementing surface acoustic waves (SAW) as the sorting unit, our device provides a contact-free method to move worms of interest to the desired outlet, thus ensuring the biocompatibility for our chip. Our device can sort worms of different developmental stages (L3 and L4 stage worms) at high throughput and accuracy. For example, L3 worms can be processed at a throughput of around 70 worms per min with a sample purity over 99%, which remains over 90% when the throughput is increased to around 115 worms per min. In our acoustofluidic chip, the time period to complete the detection and sorting of one worm is only 50 ms, which outperforms nearly all existing microfluidics-based worm sorting devices and may be further reduced to achieve higher throughput.

Graphical abstract: Fluorescence-based sorting of Caenorhabditis elegans via acoustofluidics

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Supplementary files

Article information


Submitted
15 Jan 2020
Accepted
30 Mar 2020
First published
15 Apr 2020

Lab Chip, 2020,20, 1729-1739
Article type
Paper

Fluorescence-based sorting of Caenorhabditis elegans via acoustofluidics

J. Zhang, J. H. Hartman, C. Chen, S. Yang, Q. Li, Z. Tian, P. Huang, L. Wang, J. N. Meyer and T. J. Huang, Lab Chip, 2020, 20, 1729
DOI: 10.1039/D0LC00051E

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