Markus Reischl
Papers
5
Total Citations
82
H-Index
5
About
Markus Reischl is a pioneering researcher at the intersection of high-throughput automation and biological discovery, with key contributions spanning drug screening, behavioral neuroscience, and materials science. His most impactful work centers on developing automated systems for zebrafish-based assays, where he revolutionized drug discovery by creating a high-content inflammation assay that enables whole-animal small molecule screens. This seminal 2012 paper, with 39 citations, demonstrated how zebrafish larvae’s unique properties—small size, ease of manipulation, and compound absorption—can be leveraged for efficient, reproducible pharmacological testing. Reischl further advanced behavioral phenotyping through an automated touch-response quantification system (2021, 9 citations), addressing the critical need for high-throughput, accurate, and reproducible experimentation in genetic and drug-effect studies. His interdisciplinary reach extends to materials science, where he developed an automated pipeline for identifying promising materials from X-ray diffraction data (2023, 8 citations), accelerating the discovery of high-performance electronics and energy-efficient technologies. Additionally, his work in neuroscience, using robot-controlled TMS mapping to explore cortical representation of auricular muscles (2018, 8 citations), showcases his versatility. With cumulative citations exceeding 80, Reischl’s contributions exemplify how automation can transform biological and materials research, making him a key figure in advancing reproducible, high-throughput science.
Research Focus
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