This article provides a comprehensive overview of phactor™, a specialized software solution designed to streamline high-throughput experimentation (HTE) for chemical reaction discovery and optimization.
This article provides a comprehensive overview of liquid handling robotics, a cornerstone technology in modern high-throughput screening (HTS) for drug discovery and biomedical research.
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on selecting and optimizing high-throughput workflows for autonomous experimentation.
Bayesian optimization (BO) is a powerful, sample-efficient method for guiding expensive experiments, but its real-world application is often hampered by a pervasive issue: experimental failures.
This article provides a comprehensive guide for researchers and drug development professionals on implementing media blending—a high-throughput strategy that combines predefined media formulations to rapidly optimize cell culture conditions.
The integration of machine learning (ML) with laboratory automation is creating a paradigm shift in the discovery and optimization of metal halide perovskites.
This article provides a comprehensive framework for implementing Design of Experiments (DOE) in High-Throughput Experimentation (HTE) workflows, specifically tailored for researchers, scientists, and drug development professionals.
This article provides a comprehensive introduction to high-throughput phenotyping (HTP) for researchers, scientists, and drug development professionals.
This article provides a comprehensive examination of Bayesian Optimization (BO) as a powerful, data-efficient methodology for accelerating materials discovery and development.
This article provides a comprehensive guide to data analysis for high-throughput experimentation (HTE), tailored for researchers, scientists, and drug development professionals.