Research Articles
Array-Based SNP Analysis in Clinical Diagnostics: A Comprehensive Guide for Researchers and Drug Developers
Array-based single nucleotide polymorphism (SNP) analysis has evolved from a research tool into a powerful clinical diagnostic method.
Microplate Assays for Bioprocess Development: A 2025 Guide to High-Throughput Screening, Optimization, and PAT Integration
This article provides a comprehensive guide for researchers and drug development professionals on the application of microplate assays in modern bioprocess development.
Beyond Trial and Error: Advanced Strategies for Handling Missing Data in High-Throughput Materials Growth
High-throughput materials growth, crucial for accelerating discovery in pharmaceuticals and clean energy, is frequently hampered by experimental failures that result in missing data.
Phactor™ Software for High-Throughput Reaction Arrays: A Comprehensive Guide for Accelerated Reaction Discovery and Optimization
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.
Liquid Handling Robotics for High-Throughput Screening: A Guide for Accelerating Drug Discovery
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.
Optimizing High-Throughput Workflow Selection for Autonomous Experimentation in 2025
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on selecting and optimizing high-throughput workflows for autonomous experimentation.
Navigating Experimental Failures: A Practical Guide to Robust Bayesian Optimization in Biomedical Research
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.
Media Blending for High-Throughput Cell Culture Optimization: A Strategic Guide for Bioprocess Scientists
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.
Self-Driving Labs: How Machine Learning is Revolutionizing the Automated Synthesis of Perovskites
The integration of machine learning (ML) with laboratory automation is creating a paradigm shift in the discovery and optimization of metal halide perovskites.
Optimizing High-Throughput Experimentation: A Strategic Guide to Design of Experiments for Biomedical Research
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.