HTML-код
- Опубликовано: 4 ноя 2024
- LSC+ has been specifically developed to permit rapid processing of liquid scintillation data whilst minimising the potential for transcription errors.
LSC+ also combines data processing with integrated quality control features significantly reducing data processing time whilst maintaining demonstrable data quality
LSC+ can read data files from Packard, Wallac and Perkin Elmer format files. Blank, standard and unknown data are defined by the user.
LSC+ calculates activity concentrations which are conveniently displayed in a summary report. Supporting information is included in the report header. Decay corrected activity concentrations and associated method uncertainties, including counting statistical uncertainties are reported.
LSC+ records a summary of the calculation approaches at the end of the summary report along with any quality control failures such as samples out of calibration range or standard or blank values outside of predefined ranges.
LSC+ includes a full diagnostic report detailing the stages in the calculation and showing the factors used.
LSC+ key features:
► LSC+ is a highly versatile software package purpose-designed for straightforward and rapid processing of liquid scintillation data.
► LSC+ has a user-friendly interface. It can be used to visualise spectra where this function is supported by the liquid scintillation counter. Data can also be output as a .csv file.
► LSC+ permits rapid calculation of activity concentrations from liquid scintillation counter raw data files and integrates activity and diagnostic reporting in one concise report format.
► LSC+ integrates functions for quality control and quality assurance and permits rapid assessment of data quality whilst providing a detailed record. Further quality control is provided through the ability to visually inspect spectra to confirm nuclide identity and purity. It seamlessly integrates with Raddec’s powerful LIMS quality management system software.
► LSC+ reduces the potential for transcription errors whilst significantly reducing data processing time, minimises the potential for transcription errors and increasing analyst efficiency
