CrysAI: How to Harness the Power of AI for Faster, Smarter Particle Analysis
See how CrysAI™ applies deep learning to crystallization and cell imaging—automating segmentation, improving reproducibility, and scaling insight.
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.
Using data-rich experimentation and mixing models, which leverage CFD, a right-first scale up of the new process was achieved within the yield improvements translating directly back to the plant.
Particle sizing is hugely important. However, it is laden with complexities and there is a general misunderstanding of the techniques used.
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.