Greg Sjogren
Papers
1
Total Citations
18
H-Index
1
About
Greg Sjogren is pioneering the intersection of high-throughput automation and complex 3D biology. His work centers on developing advanced imaging and screening platforms for organoid models, which are miniature, lab-grown tissues that more accurately mimic human physiology than traditional 2D cell cultures. Sjogren’s major contribution is the creation of an automated, high-content screening system that enables researchers to phenotype organoids at scale—a critical step for drug discovery and personalized medicine. His most-cited paper, "Development of an automated 3D high content cell screening platform for organoid phenotyping" (2024), has already garnered 18 citations, reflecting its immediate impact on a rapidly growing field. By addressing the pressing need for standardized, reproducible methods in organoid research, Sjogren is helping to unlock the full potential of these models for studying disease mechanisms and testing therapeutics. His work stands at the forefront of a technological shift, making complex biological systems accessible for high-throughput analysis.
Research Focus
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Top Papers
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