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Dataset Information

Sniffer worm, C. elegans, as a toxicity evaluation model organism with sensing and locomotion abilities.


ABSTRACT: Additive manufacturing, or 3D printing, has revolutionized the way we create objects. However, its layer-by-layer process may lead to an increased incidence of local defects compared to traditional casting-based methods. Factors such as light intensity, depth of light penetration, component inhomogeneity, and fluctuations in nozzle temperature all contribute to defect formations. These defective regions can become sources of toxic component leakage, but pinpointing their locations in 3D printed materials remains a challenge. Traditional toxicological assessments rely on the extraction and subsequent exposure of living organisms to these harmful agents, thus only offering a passive detection approach. Therefore, the development of an active system to both identify and locate sources of toxi

SUBMITTER: Kim JS 

PROVIDER: S-EPMC10395899 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature