Multiple high-current peaks followed by a low-current phase improve OES precision while reducing CCD deterioration from intense UV exposure.
Rapid LIBS spot mapping reveals elemental inhomogeneity in continuous cast metal within minutes, enabling online quality checks and faster process adjustment.
Real-time feedback keeps reference emission lines in range, stabilizing LIBS plasma for faster, more accurate tissue and cancer detection.
Sequential reference and sample profiling with interpolation corrects spectrometer drift and improves central wavelength accuracy to sub-picometric levels.
A plasma chamber and spectrometer turn hot borehole exhaust into real-time elemental data for rapid subsurface metal identification.
Multiple grating reflections fold the LIBS optical path to separate closely spaced carbon and iron lines in a compact analyzer.
A selectively reactive gas around the LIBS sampling point suppresses vapor and self-absorption effects for precise volatile-element analysis in molten metal.
A gas-cell feedback loop stabilizes laser wavelength, improving moving-mirror position detection and spectral accuracy.
A plasma chamber and spectrometer turn hot borehole exhaust into real-time elemental data for metal identification during directed-energy drilling.
Multiple objective lenses extend LIBS depth of field, reducing shadowing and enabling reliable analysis of uneven sample surfaces.
Pulsed-laser spectral analysis identifies ppm-level inclusions in metallic powders faster than sieving or acid digestion, improving cleanliness control.
A machine learning model predicts spectrum transforms from operating conditions to correct spectral drift without long spectrometer stabilization.
Emitted-radiation spectroscopy with atmospheric correction and probabilistic modeling identifies unknown liquid metallurgical compositions accurately.
Remote LIBS measures converter slag composition and basicity during deslagging, avoiding surface prep delays and probe height issues.
Automatic wavelength band selection filters noise-prone spectral regions to improve sample quantification accuracy and reduce analysis time.
A base calibration model trained across multiple spectroscopic instruments is finetuned to cut recalibration effort and downtime.