See how CrysAI™ applies deep learning to crystallization and cell imaging—automating segmentation, improving reproducibility, and scaling insight.

We’ve curated a list of key crystallization publications from the past 25 years, showcasing the research and breakthroughs that have defined our approach and expertise. These publications represent the culmination of decades of innovative work by APC’s crystallization experts, illustrating our ongoing impact in this field.

A scale-down and CFD modelling approach delivered a 10% crystallisation yield improvement within existing regulatory filing parameters in 12 weeks.

For the synthesis & crystallization of APIs, Mixed Suspension Mixed Product Removal Crystallizers (MSMPRCs) can help address common issues in batch production.

In this case study, scientists determine drying conditions that preserve the API physicochemical properties, while minimizing the drying time.

Computational solvent screening narrows 70 candidates to under 10 in 2–3 days, with solubility predictions within 20% of experiment—applied to API crystal morphology design.

Combining laser light scattering and microscopy for pharmaceutical particle size analysis eliminates common measurement artefacts and provides verifiable, morphology-aware results.

Subtle changes in particle size, shape, & distribution can have a major impact on pharma solubility and stability and cause flow and formulation issues.

[WEBINAR] Traditional solvent screening takes too long to fix issues for fast-moving clinical candidates. But modeling & smart experiments speed things up.