Abstract: The present disclosure relates to assistive mechanisms and methods that aid an operator of a spectrometer to make spectral measurements of a sample, the measurements having a desired quality. The method enables quality spectral measurements quickly and simply, without a prior understanding of a sample's spectrum or of the details as to how the spectrum is measured. Data quality is improved, and the time required to collect the data is reduced. While a specific example of sample optic focus is disclosed in detail, the optimization of numerous other parameters is possible.

Abstract: The present disclosure relates to assistive mechanisms and methods that aid an operator of a spectrometer to make spectral measurements of a sample, the measurements having a desired quality. The method enables quality spectral measurements quickly and simply, without a prior understanding of a sample's spectrum or of the details as to how the spectrum is measured. Data quality is improved, and the time required to collect the data is reduced. While a specific example of sample optic focus is disclosed in detail, the optimization of numerous other parameters is possible.

Abstract: Methods and systems for spectrometer dark correction are described which achieve more stable baselines, especially towards the edges where intensity correction magnifies any non-zero results of dark subtraction, and changes in dark current due to changes in temperature of the camera window frame are typically more pronounced. The resulting induced curvature of the baseline makes quantitation difficult in these regions. Use of the present disclosure may provide metrics for the identification of system failure states such as loss of camera vacuum seal, drift in the temperature stabilization, and light leaks. In system aspects of the present disclosure, a processor receives signals from a light detector in the spectrometer and executes software programs to calculate spectral responses, sum or average results, and perform other operations necessary to carry out the disclosed methods. In most preferred embodiments, the light signals received from a sample are used for Raman analysis.

Abstract: Methods and systems for spectrometer dark correction are described which achieve more stable baselines, especially towards the edges where intensity correction magnifies any non-zero results of dark subtraction, and changes in dark current due to changes in temperature of the camera window frame are typically more pronounced. The resulting induced curvature of the baseline makes quantitation difficult in these regions. Use of the invention may provide metrics for the identification of system failure states such as loss of camera vacuum seal, drift in the temperature stabilization, and light leaks. In system aspects of the invention, a processor receives signals from a light detector in the spectrometer and executes software programs to calculate spectral responses, sum or average results, and perform other operations necessary to carry out the disclosed methods. In most preferred embodiments, the light signals received from a sample are used for Raman analysis.

Abstract: Methods and systems for spectrometer dark correction are described which achieve more stable baselines, especially towards the edges where intensity correction magnifies any non-zero results of dark subtraction, and changes in dark current due to changes in temperature of the camera window frame are typically more pronounced. The resulting induced curvature of the baseline makes quantitation difficult in these regions. Use of the invention may provide metrics for the identification of system failure states such as loss of camera vacuum seal, drift in the temperature stabilization, and light leaks. In system aspects of the invention, a processor receives signals from a light detector in the spectrometer and executes software programs to calculate spectral responses, sum or average results, and perform other operations necessary to carry out the disclosed methods. In most preferred embodiments, the light signals received from a sample are used for Raman analysis.