In collaboration with SCIEX, we present the AI Quantitation software, a ground-breaking solution that revolutionizes method optimization and workflow efficiency while elevating data processing to improved levels of automation.
Leveraging state-of-the-art artificial intelligence and machine learning technologies, AI Quantitation software empowers users to effortlessly transform compatible datasets obtained from SCIEX Triple Quad, high-resolution accurate mass and Echo® MS+ systems into clear and actionable insights.
This robust software streamlines time-consuming steps in workflows and method development, resulting in heightened productivity and faster time to results. By enabling users to allocate their resources more effectively, AI Quantitation software drives projects further, faster, and more efficiently.
Automated data processing for relative and absolute quantitation workflows coupled with AI-driven MRM prediction
Automated data processing providing actionable results at your finger tips to accelerate critical decision-making
Actionable insights with AI Quantitation software
AI Quantitation Training documents
- Tutorial_AIQ_00. Introduction and General Procedure
- Tutorial_AIQ_01. Compound Structure
- Tutorial_AIQ_02. Relative Quantification: Process data acquired with an Echo® MS system from a sample list for multiple compounds
- Tutorial_AIQ_03. Process SWATH® acquisition data acquired with an Echo® MS+ system for Clearance calculation
- Tutorial_AIQ_04. Process LC-MS ToF data starting from wiff2 files
- Tutorial_AIQ_05. Clearance Automation
- Tutorial_AIQ_06. Absolute Quantification: Absolute Quantification Single Compound MRMHR acquisition
- Tutorial_AIQ_07. Absolute Quantification Result Visualization
- Tutorial_AIQ_08. Absolute Quantification Single Compound MRMHR
- Tutorial_AIQ_09. Absolute Quantification Single Compound MRM
- Tutorial_AIQ_10. Absolute Quantification Multiple Compounds part 1
- Tutorial_AIQ_11. Absolute Quantification Multiple Compounds part 2
- Tutorial_AIQ_12. Chemical Monitoring. Process TOF data acquired with an Echo® MS system
- Tutorial_AIQ_13. MRM modeling. Building a model to predict MRM transitions
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