The traditional protein crystallization imaging process is resource-intensive and expensive, often costing over $100,000, making it inaccessible for many academic labs and startups.
A new affordable imaging system has been developed that automates image capture from protein crystallization experiments at a cost 28 times lower than current methods, using a modified 3D printer and Python scripts.
The system includes features for both standard and fluorescent imaging, enhanced by a user-friendly graphical interface, and serves as a guide for similar laboratory robotics projects.