High-throughput phenotypic screening has historically relied on manually selected features, limiting our ability to capture complex cellular processes, particularly neuronal activity dynamics. While ...

Glycosylation is a critical quality attribute of therapeutic proteins, yet current analytical methods often fail to meet rapid, high-throughput demands. Here, we adopted an optimized glycosylation ...

MtoZ Biolabs provides PhIP-Seq analysis support for antigen epitope screening, antibody repertoire profiling, autoantibody discovery, and biomarker research. BOSTON, MA, UNITED STATES, June 21, 2026 / ...

The ImageXpress HCS.ai High-Content Screening System captivates users' imagination with high-quality imaging and analysis, allowing users to easily obtain crystal-clear images and robust data. Image ...

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...

Modern laboratories rely on ultra-high-throughput screening (UHTS) to systematically evaluate chemical compounds or biological targets at massive scales. Depending on system configuration, these ...

A method developed by a research group at Tampere University seeks specific molecules that can target desired tissues through the bloodstream and penetrate tissues by passing through cells. This ...

Researchers from Tsinghua University and Peking University have unveiled DrugCLIP, a new AI-driven screening program they say could speed up drug discovery (Science 2026, DOI: 10.1126/science.ads9530) ...

In drug discovery, virtual screening is a fast and cost-effective way of narrowing down vast chemical libraries to identify the most promising hits, reducing synthesis and testing requirements while ...