AIMC Topic: High-Throughput Screening Assays
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Scalable 96-well Plate Based iPSC Culture and Production Using a Robotic Liquid Handling System.
Journal of visualized experiments : JoVE
May 14, 2015
Continued advancement in pluripotent stem cell culture is closing the gap between bench and bedside for using these cells in regenerative medicine, drug discovery and safety testing. In order to produce stem cell derived biopharmaceutics and cells fo...
PENG: a neural gas-based approach for pharmacophore elucidation. method design, validation, and virtual screening for novel ligands of LTA4H.
Journal of chemical information and modeling
Feb 9, 2015
The pharmacophore concept is commonly employed in virtual screening for hit identification. A pharmacophore is generally defined as the three-dimensional arrangement of the structural and physicochemical features of a compound responsible for its aff...
BioSAXS Sample Changer: a robotic sample changer for rapid and reliable high-throughput X-ray solution scattering experiments.
Acta crystallographica. Section D, Biological crystallography
Jan 1, 2015
Small-angle X-ray scattering (SAXS) of macromolecules in solution is in increasing demand by an ever more diverse research community, both academic and industrial. To better serve user needs, and to allow automated and high-throughput operation, a sa...
Deep Learning for Fluorescence Lifetime Predictions Enables High-Throughput In Vivo Imaging.
Journal of the American Chemical Society
Jul 2, 2025
Fluorescence lifetime imaging microscopy (FLIM) is a powerful optical tool widely used in biomedical research to study changes in a sample's microenvironment. However, data collection and interpretation are often challenging, and traditional methods ...
Advancements in Organoid-Based Drug Discovery: Revolutionizing Precision Medicine and Pharmacology.
Drug development research
Jun 1, 2025
Organoids, 3D cellular models derived from stem cells, have revolutionized drug testing by providing human-relevant systems for modeling diseases and testing drug efficacy. Unlike traditional 2D cell cultures or animal models, organoids closely resem...
A comprehensive update on the application of high-throughput fluorescence imaging for novel drug discovery.
Expert opinion on drug discovery
Jun 1, 2025
INTRODUCTION: High-throughput fluorescence imaging (HTFI) is revolutionizing drug discovery by enabling rapid and precise detection of biological targets and cellular processes. Recent advances in fluorescence imaging technologies now provide unprece...
A machine-learning-integrated portable electrochemiluminescence sensing platform for the visualization and high-throughput immunoassays.
Talanta
May 15, 2025
Electrochemiluminescence (ECL)-based point-of-care testing (POCT) has the potential to facilitate the rapid identification of diseases, offering advantages such as high sensitivity, strong selectivity, and minimal background interference. However, as...
Effect of Cell-Cell Interaction on Single-Cell Behavior Revealed by a Deep Learning-Aided High-Throughput Addressable Single-Cell Coculture System.
Analytical chemistry
May 13, 2025
Cell-cell interactions are crucial for understanding various physiological and pathological processes, yet conventional population-level methods fail to disclose the heterogeneity at a single-cell resolution. Single-cell coculture systems that isolat...
High throughput recurrent pregnancy loss screening: urine metabolic fingerprints LDI-MS and machine learning.
The Analyst
May 12, 2025
Infertility is a significant challenge faced by many families worldwide, with recurrent pregnancy loss (RPL) being a prevalent cause of infertility among women. This condition causes immense emotional and physical distress for affected individuals an...
Accelerating antibody discovery and optimization with high-throughput experimentation and machine learning.
Journal of biomedical science
May 9, 2025
The integration of high-throughput experimentation and machine learning is transforming data-driven antibody engineering, revolutionizing the discovery and optimization of antibody therapeutics. These approaches employ extensive datasets comprising a...
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