Controlling the M5 MicroLC system with SCIEX OS software using contact closure by Christie Hunter | Aug 6, 2021 | Biopharma, Data acquisition, LC, Pharma, SCIEX informationContact closure can be used to control external devices that are not directly controlled by SCIEX OS software. A sample batch is first created in the SCIEX OS software for MS acquisition, and then a similar batch is created on an external LC device with the required...
Controlling the NanoLC 425 HPLC system using contact closure in SCIEX OS software by Christie Hunter | Aug 6, 2021 | Data acquisition, LC, Life Science Research, Proteomics, SCIEX information, SCIEX OS softwareSCIEX OS software can support external devices that are not under direct control by using contact closure. Contact closure enables synchronization of the SCIEX OS software controlled device (the MS) and the external device (the LC in this case), ensuring that...
Guidance for source tuning on the OptiFlow Pro ion source by Christie Hunter | Aug 6, 2021 | Data acquisition, Ion sources, QTRAP / Triple Quad, SCIEX information, TechnologyThe OptiFlow Pro ion source is the fourth generation of source in the Turbo V ion source family. Fundamental to this family of sources is the orthogonal spray design with V heater configuration, which focuses heat in the optimal spot to achieve high sensitivity...
Using Scheduled MRM algorithm in SCIEX OS software by Christie Hunter | Aug 6, 2021 | Data acquisition, QTRAP / Triple Quad, SCIEX information, SCIEX OS software, TechnologyWhen very large numbers of MRM transitions are monitored in a single acquisition method, the time spent acquiring data on a single analyte drops significantly. Thus, it is typical to schedule the acquisition of MRM transitions only around their time of elution, such...
What are my normalization options in MarkerView software and when should I use them? by Christie Hunter | Aug 6, 2021 | Algorithms, Data processing, MarkerView, SCIEX information, TechnologyIn an LC-MS experiment there are multiple sources of variance that can confound the quality of your results. This variation can be biological e.g. differences between treated and control groups, but can also be non-biological, usually from small variations in...