Formulation Development

When it comes to solid dosage formulations, the most common challenge formulators face is poor solubility. In numbers: 70% of drugs in development are poorly soluble.

Access the future of AI microscopy

Subjectivity of analysis and poor reproducibility are key hurdles to be overcome for biological image analysis. Standard segmentation can lead to sub-standard results and require substantial manual curation which is subject to human error.

Leica S9 I Greenough Stereo Microscope

Save up to 20% inspection and rework time*

Continuously improving production, keeping defect rates low, and fulfilling customer requests in order to stay competitive can be very challenging. Leica has developed the S9 stereo microscope series to help you cope with these challenges. With this generation of Greenough stereo microscopes operators will be able to reveal details faster as they spend less time having to adjust the microscope.

*compared to the standard industrial stereo microscope S6 from Leica

Curia was the first CRO to provide contract medicinal chemistry services to the pharmaceutical industry.

Measure heat flow, weight loss, dimension change, or mechanical properties as a function of temperature.

Integrated drug discovery greatly benefits programs by blending various scientific disciplines into a unified team focused on your project.

Characterize the Best-Fit Structure for Your NMR and MS Data

ACD/Structure Elucidator Suite is the industry-leading software solution for computer-assisted structure elucidation (CASE). It offers a reliable workflow and accurate results for de novo elucidation of complex organic compound structures.

Use Structure Elucidator Suite to:

• Determine structures using NMR and other analytical data
• Generate all the candidate structures that fit your NMR and MS data
• Rank the generated structures and identify the most probable one
• Determine 3D configuration from a 2D structure using NOESY/ROESY data
• Dereplicate previously identified compounds
• Search fragment databases or manually define fragments for partially known structures
• Report the final structure and add SDFiles to the prediction databases

• Enables sample recovery
• Avoids dilution effects
• Analyzes samples in a matrix-free environment
• Has minimal buffer constraints