Process Development

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

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.

  • 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

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

NanoFlowSizer

For inline measurements in-flow

NanoLabSizer

For complex formation analysis
in gene therapy