Rock Maker®
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.
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.