Anne E. Carpenter

Papers

Total Citations

243

H-Index

About

Anne E. Carpenter is a prominent computational biologist and imaging scientist whose research sits at the intersection of high-throughput microscopy, image analysis, and drug discovery. Best known for her pioneering work in automated biological image analysis, Carpenter has made foundational contributions to the development of tools and methodologies that enable large-scale screening experiments using whole-organism model systems. Her most cited work (210 citations) demonstrates the power of using the nematode *Caenorhabditis elegans* as a whole-animal infection model for identifying novel antimicrobial compounds — a significant advance in the fight against drug-resistant pathogens like *Enterococcus faecalis*. This high-throughput approach allows researchers to evaluate drug candidates in a living organism, providing crucial in vivo context that traditional cell-based assays cannot capture. Complementing this, her work on resolving clustered worms through probabilistic shape models (33 citations) addresses key computational challenges in automated microscopy, improving the accuracy of image-based phenotypic analysis at scale. Carpenter's contributions have helped transform how researchers conduct large-scale biological screens, making automated imaging workflows more accessible and reliable, and significantly accelerating the pace of discovery in chemical biology and infectious disease research.