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Lab Automation
Lab Automation or laboratory automation is a multi-disciplinary strategy to research, develop, optimize and capitalize on technologies in the laboratory that enable new and improved processes. Laboratory automation professionals are academic, commercial and government researchers, scientists and engineers who conduct research and develop new technologies to increase productivity, elevate experimental data quality, reduce lab process cycle times, or enable experimentation that otherwise would be impossible.
OCT 21, 2020 | 10:30 AM
Solid phase extraction has become a preferable technique for reducing matrix effects for sample preparation due to its ease of use and limited time requirements. MilliporeSigma has launched...
OCT 21, 2020 | 9:00 AM
Learning Objectives: 1. Understand the functionality and digestibility of starches at high heating temperatures as measured jointly by RVA 4800 and DSC 2. Acquire new knowledge on the behavi...
OCT 21, 2020 | 8:00 AM
Date: October 21, 2020 Time: 8:00am PDT Learning Objectives Webinars will be available for unlimited on-demand viewing after live event. LabRoots is approved as a provider of continuing educ...
OCT 21, 2020 | 7:30 AM
Cannabis is a complex and difficult matrix to work with and the analysis of pesticides in cannabis is a notoriously problematic task. There is major ion suppression present from the signific...
OCT 21, 2020 | 12:00 AM
Accurate characterization of monoclonal antibodies is essential to development of biotherapeutics. Thorough understanding of biotherapeutic properties aids in the optimization of bioprocess...
OCT 21, 2020 | 12:00 AM
Pesticides are routinely applied to crops to prevent or control pests and are therefore routinely tested for the presence of pesticide residues and to check for compliance with permitted Max...
OCT 21, 2020 | 12:00 AM
Cannabis testing laboratories play a pivotal role in the multidimensional cannabis industry. Production companies to the consumers, whole cannabis community rely on the analytical results pr...
OCT 21, 2020 | 12:00 AM
As ‘omics research advances, separations data such as chromatograms and nuclear magnetic resonance (NMR) spectra are being used as direct inputs to machine-learning algorithms ranging...
