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. 2019 Jul 12;9:10104. doi: 10.1038/s41598-019-46642-6

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Optimization of the drug-screening system using Multi-Worm Tracker (MWT) (a) A representative trajectory of an N2 worm for 30 sec. A 13 × 10 cm agar-filled plate was used for the assay, and images were captured using Toshiba-Teli Ultra-High-resolution 12 M pixel CMOS sensor camera-link camera. The locomotion of as much as about 500 worms can be detected and analyzed simultaneously. (b) Performance of the MWT assay for detection of levamisole treatment. Control worms treated with NG buffer only were placed on the left side of the assay plate (blue line, n = 18) and levamisole (0.5 mM) on the right side (red line n = 20). The average moving speed of each group was analyzed and quantified using Choreography. (c) The WMT assay is divided into 8 groups. To analyze multiple groups of worms simultaneously, assay plates were divided into 8 regions by glycerol. A representative trajectory of worms treated by different concentrations of levamisole is shown. The average moving speeds analyzed by Choreography are shown on the right side. (d) A comparison of the locomotion speed of the worms with and without separation into regions by glycerol The statistical analyses in b and d were performed using the Student t-test (***p < 0.0001).