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We show how TRW complements our approach by both approaches detecting different sets of scanning IPs.
We determined cell-division orientation of all mitotic positions for 12 hr using three sets of scanning data for each of the three time windows of wild-type and one time window of hab mutant.
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It presented an approximate set of scanned data points with a simple curves or surfaces.
On one hand, the larger the set of scanned cells, the better the signal quality of the chosen site, and hence the larger the data throughput obtained by the mobile.
We also present an extensive experiment on a diverse set of scanned historical maps to provide measures of baseline performance of a standard text recognition tool under varying map conditions (graphical quality) and text representations (that can vary even within the same map sheet).
In their study, three examiners compared two sets of scans from 30 subjects using three methods.
Both sets of scans were performed on the same QDR 4500W system (Hologic Inc, Bedford, MA).
The two sets of scans were acquired within 5 min, and CAC scores were averaged.
Figure 7 shows schematically the reverse engineering of a set of scanning data.
Therefore we propose a new elliptical setup using a laser interferometer and a set of scanning mirrors.
It is also possible to specify multiple scanning thresholds and to configure a set of scanning intervals associated with each threshold.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com