The phrase "a data acquisition tool" is correct and usable in written English.
You can use it when referring to a device or software that collects and measures data for analysis or monitoring purposes.
Example: "The laboratory invested in a data acquisition tool to enhance their research capabilities and improve data accuracy."
Alternatives: "a data collection instrument" or "a data gathering device."
This program is a useful data acquisition tool for the filter-based spectral imaging system.
Radiosyntheses were performed on a TRACERlab™ FX F-N synthesizer from GE Healthcare (Waukesha, WI, USA) equipped with PU-1580 pump from Jasco International Co. (Gross-Umstadt, Germany), a WellChrom K-2001 UV detector from KNAUER GmbH (Berlin, Germany, a NaI(Tl -counter and an auTl -counterandcquisition tool (NINansoftwautomatedon 4.8 rev. 4, Nuclear Interface GmbH, datamund, Germacquisition
The DAQ communicates with a PC through the data acquisition tool box within MATLAB.
As illustrated in Figure 6, an Excel plug-in software named PLX-DAQ (Parallax Data Acquisition tool) was used for exporting the measured data from the Sensor Module into an Excel file ([Parallax]).
Thus, this study aims to propose microcomputer based labs with several data acquisition tools and a modeling tool, which can assist students to collect and visualize data in faster and fancier ways, and generate mathematical models to fit the data, thus exercising their skills of scientific modeling.
It has an event-oriented architecture, and it has a set of libraries that provides data acquisition tools for the motes.
These results indicated that the combination of modern data acquisition tools and fitting data with a modeling tool would provide an alternative and meaningful approach to doing physics labs at high school.
Sensors embedded into products during the production process are important data acquisition tools for after-sale products' condition monitoring.
The deluge of multi-dimensional data acquired from advanced data acquisition tools requires sophisticated algorithms to extract useful knowledge from such data.
With the recent state-of-the-art sensor-based data acquisition tools in the oil and gas industry, datasets sometimes come in very high dimensions.
