Practical Method Development for Today’s Analytical Scientist
This webinar series will cover practical applications of retention modeling, software-assisted workflows, and in-silico tools to support faster development, reduced experimental effort, and more robust, QbD-aligned methods.
Wednesday's in March; Register Now
The key to effective chemical R&D workflow automation: putting in-house experts in control
In this article, Richard Lee explains why obstacles have slowed automation efforts and how a low-/no-code application with native support for analytical data, such as Spectrus Conduit, enables organizations to automate these workflows.
How Pfizer Transformed Analytical Data Management
Read Pfizer’s journey of digitalized analytical data management. Starting with chromatographic data from one CDS, Pfizer has created an environment of centralized analytical knowledge, workflow-specific data dashboards, and structured data for modeling and AI/ML.
Liberate Your Workflow: Flexible, Multi-Technique Chemical Data Analysis
Discover how modern labs can streamline NMR, MS, chromatography, and IR workflows with web-based tools. Learn how Spectrus Processor JS can enable flexible, multi-technique chemical data analysis, reducing IT burden, improving efficiency, and letting scientists prioritize data interpretation and decision-making.
Improving NMR Data Processing in the Research Lab
Explore how browser-accessible, vendor-neutral chemical analysis software simplified NMR data processing, standardized reporting, improved lab workflows, facilitated multi-instrument access, and strengthened structural elucidation and verification in a natural products research environment.
A Milestone Moment for ACD/Labs and Our Community
Revvity Signals’ planned acquisition of ACD/Labs brings together two leading scientific software portfolios, promising deeper integration, expanded workflows, and enhanced data, automation, and analytical capabilities to better support chemistry, pharmaceutical R&D, and end-to-end scientific decision-making.
Advanced Data Analysis of Peptide LC-MS Spectra through In Silico Fragmentation
Highlighting a vendor-neutral in-silico fragmentation workflow that automates peptide MS/MS interpretation; improving fragment assignment accuracy, enabling structural visualization, distinguishing isomers, and streamlining reporting—which centralizes data processing across multiple instrument platforms.