Reducing Results Variance in Lifespan Machines: An Analysis of the Influence of Vibrotaxis on Wild-Type <i>Caenorhabditis elegans</i> for the Death Criterion

Nowadays, various artificial vision-based machines automate the lifespan assays of <i>C. elegans</i>. These automated machines present wider variability in results than manual assays because in the latter worms can be poked one by one to determine whether they are alive or not. Lifespan...

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Bibliographic Details
Main Authors: Joan Carles Puchalt, Pablo E. Layana Castro, Antonio-José Sánchez-Salmerón
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/21/5981
Description
Summary:Nowadays, various artificial vision-based machines automate the lifespan assays of <i>C. elegans</i>. These automated machines present wider variability in results than manual assays because in the latter worms can be poked one by one to determine whether they are alive or not. Lifespan machines normally use a “dead or alive criterion” based on nematode position or pose changes, without poking worms. However, worms barely move on their last days of life, even though they are still alive. Therefore, a long monitoring period is necessary to observe motility in order to guarantee worms are actually dead, or a stimulus to prompt worm movement is required to reduce the lifespan variability measure. Here, a new automated vibrotaxis-based method for lifespan machines is proposed as a solution to prompt a motion response in all worms cultured on standard Petri plates in order to better distinguish between live and dead individuals. This simple automated method allows the stimulation of all animals through the whole plate at the same time and intensity, increasing the experiment throughput. The experimental results exhibited improved live-worm detection using this method, and most live nematodes (>93%) reacted to the vibration stimulus. This method increased machine sensitivity by decreasing results variance by approximately one half (from <inline-formula><math display="inline"><semantics><mrow><mo>±</mo><mn>1</mn></mrow></semantics></math></inline-formula> individual error per plate to <inline-formula><math display="inline"><semantics><mrow><mo>±</mo><mn>0.6</mn></mrow></semantics></math></inline-formula>) and error in lifespan curve was reduced as well (from <inline-formula><math display="inline"><semantics><mrow><mn>2.6</mn><mo>%</mo></mrow></semantics></math></inline-formula> to <inline-formula><math display="inline"><semantics><mrow><mn>1.2</mn><mo>%</mo></mrow></semantics></math></inline-formula>).
ISSN:1424-8220