Abstract
Monitoring nematode parasite movement and mortality in response to various treatment samples usually involves tedious manual microscopic analysis. High Content Analysis instrumentation enables rapid and high throughput collecting of large numbers of treatment data on huge numbers of individual worms. These large sample sizes and increased sample diversity result in robust, reliable results with increased statistical significance. These methods would be applicable to relevant human, crop, or animal worm parasites.
Footnotes
All authors had substantial roles in conceptualization, method development, data acquisition, experimental execution, and data annotation, data analysis and curation.
JM Petitte in particular was instrumental in method development, worm husbandry, and scripting of worm analysis algorithms.
MH Lewis developed the methodology, sample tracking and data curation to generate the microbial sample test library.
TK Witsil wrote all of the necessary python scripts to automate the final data annotation.
X Huang was responsible for group supervision, project administration, and development of nematode husbandry methods.
JW Rice was responsible for high content method development, results validation and visualization, and original draft preparation
All authors are employees of Novozymes North America, Inc., 108 TW Alexander Drive Bldg. 1A, Durham, NC 27519
