Protein Crystallization
Crystallization of Small Molecules with Robotic Methods
AI-Powered UV Image Autoscoring for Faster and Reliable Protein Crystal Identification
Application Note
Combining UV fluorescence imaging with AI-based scoring delivers a more accurate, scalable, and robust path from crystal hit to X-ray diffraction data.
Automated Imaging of Microfluidic CrystalChip Experiments Using the Formulatrix Rock Imager 360
Application Note
Learn how the integration of CrystalChip with automated Rock Imager 360 imaging transforms protein crystallization workflows by enabling high-throughput, reproducible crystal visualization.
跨越技术鸿沟：从微流控晶体到高通量成像
从实验设计到数据分析： 利用 Formulatrix 蛋白质结晶解决方案实现端到端自动化
里程碑：莫纳什大学大分子结晶平台完成第 10,000 块结晶板实验
Sherlock 人工智能结晶实验评分系统：提升实验效率、分析准确度与结果可信度
应用笔记 | Rock Maker – 蛋白质结晶软件
了解 FORMULATRIX Sherlock 人工智能工具：可自动识别复杂液滴内晶体，性能优于 MARCO 等传统分析模型。
Automated Protein Crystallization
Article | Rock Maker – Protein Crystallization Software
Protein crystallization is the process of forming a regular array of individual protein molecules stabilized by crystal contacts. Understanding the protein structure is of great importance for predicting its function, studying protein-protein or ligand-protein interaction for drug discovery, and uncovering stages in enzyme catalysis.