Machine learning-based analysis of microfluidic device immobilized C. elegans for automated developmental toxicity testing.

ABSTRACT: Developmental toxicity (DevTox) tests evaluate the adverse effects of chemical exposures on an organism's development. Although current testing primarily relies on large mammalian models, the emergence of new approach methodologies (NAMs) is encouraging industries and regulatory agencies to evaluate novel assays. C. elegans have emerged as NAMs for rapid toxicity testing because of its biological relevance and suitability to high throughput studies. However, current low-resolution and labor-intensive methodologies prohibit its application for sub-lethal DevTox studies at high throughputs. With the recent advent of the large-scale microfluidic device, vivoChip, we can now rapidly collect 3D high-resolution images of ~ 1000 C. elegans from 24 different populations. While data collection is r

SUBMITTER: DuPlissis A 

PROVIDER: S-EPMC11696900 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature