
Process Development
Optimize nanoparticle processes with better particle size insight
- Understand the effect of process parameters
- Optimize with faster particle size feedback
- Support more robust scale-up decisions
Why particle size matters at the process development stage
In process development, particle size is an important output of both formulation and process conditions. Understanding how process parameters affect size can help teams improve process understanding, optimize conditions, and reduce trial-and-error during development.
InProcess-LSP supports process-relevant particle size analysis to help teams make optimization decisions with greater confidence.

Key challenges
- Understanding the impact of process parameters on particle size
- Optimizing flow, mixing, or formulation conditions
- Reducing development time and unnecessary experiments
- Building confidence for scale-up
How our analyzers help
Faster feedback for process optimization
Our analyzers help teams monitor and evaluate particle size under conditions that better represent the actual process. This enables faster feedback, improved interpretation of process changes, and better-informed optimization during development.
Why teams use this
- Improve understanding of process behavior
- Optimize parameters with greater confidence
- Reduce trial-and-error
- Support more robust scale-up decisions
Relevant applications
Relevant applications in process development