WALDO
High Throughput Screening THz Raman
The Well-Plate System (WPS) is designed for high-throughput screening (HTS) using low-frequency THz-Raman™ spectroscopy. It enables rapid screening and identification of polymorphs, co-crystals, and crystallinity in pharmaceutical compounds, particularly Active Pharmaceutical Ingredients (APIs). The Well-Plate System (WPS) is designed for high-throughput screening (HTS) using low-frequency THz-Raman™ spectroscopy. It enables rapid screening and identification of polymorphs, co-crystals, and crystallinity in pharmaceutical compounds, particularly Active Pharmaceutical Ingredients (APIs).
The Well-Plate System (WPS) is designed for high-throughput screening (HTS) using low-frequency THz-Raman™ spectroscopy. It enables rapid screening and identification of polymorphs, co-crystals, and crystallinity in pharmaceutical compounds, particularly Active Pharmaceutical Ingredients (APIs).
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• Fully automated operation
• Collects both Stokes and anti-Stokes signals from -800 to +2800 cm-1 with ~4 cm-1 spectral
resolution
• Configurable scanning patterns
• FloodLightTM Mode to enhance collection speed
and averaging performance
• Intra-well mapping data collection
• Plate autofocusing system
• Automated calibration

Since solid samples are often inhomogeneous, the WALDOTM software includes a variety of sampling patterns to
enable spatial averaging. User-selectable built-in patterns include Single Point, Spiral, Polar, or Grid. Single
Point is most often used for initial alignment of the system to the area of interest and maintains a stationary
position during the measurement. The Spiral pattern is used to capture spectra over large areas (e.g. wells) and
provides many data points for statistical averaging, as well as intra-well mapping (see following pages). The
Spiral parameters can be adjusted to optimize measurement time and well plate area coverage1. For the Grid
pattern, the user specifies the step size (minimum 1 mm) and number of steps in both X and Y directions to
create a cartesian grid of any size. Like Grid mode, Polar mode is an alternative pattern that takes
measurements at many discrete points but uses polar vs. cartesian coordinates to generate the pattern. For both
Grid and Polar modes, data is recorded as an overall average, but also at each discrete location and is accessible
for post-process analysis. Each pattern may also be repeated multiple times to generate additional data for
statistical enhancement
