B.I. Methods

Clinical and translational research by NMR is rapidly growing and worldwide networks of research groups such as the Phenome Center Network are forming. As a result, there is an increasing focus on standardization to maintain the transferability and reproducibility of the data.
Currently there is an emphasis to standardize analytical instrumentation, operation procedures, analysis procedures and metadata handling

Now available on the AVANCE™ IVDr system, B.I.-Methods is the basis for data analysis technology developments and enables standardization of body fluid analysis by NMR.

B.I.-Methods link the IVDr platform with Bruker’s automatic data analysis service and contains all automation methods needed for standardized data generation of body fluids. It also includes efficient quality control methods needed when working on human samples and ensures transferability of spectral data generated. While the entire system is for research use only, B.I.-Methods paves the way for possible future use in clinical settings by fulfilling certain requirements for accreditation and certification.

• Standard operating procedures for body fluids sample preparation (urine, plasma/serum, CSF and Methanol extract of body fluids, cell cultures and tissues)
• „„Standardized parameter sets for body fluids and quality control measurements
• Quality control reporting system including validation reports and control charts„
• QuantRefManager fully integrated in TopSpin™ to manage quantitative calibration of the IVDr system for all body fluids„„
• Automatic configuration of IconNMR according to the requirements of the IVDr system
• Standardized templates for SampleTrack„„
• Module for automatic access to Bruker Data Analysis Server
• „„IVDr Data Browser allows an easy management of the IVDr data (spectra and metadata) and enables to select, copy or overlay a part of them
   

• „„Standardized data generation and high data quality obtained in full automation„„
• Stringent spectrometer calibration and QC validation including stringent reporting„„
• Enabling sharing and co-development of statistical models across laboratories„„
• Reliable and consistent NMR data generation in large scale studies with long term horizons„„
• Supporting NMR laboratory network approach including phenome center networks