Sentence examples for scoring module from inspiring English sources

The multiwavelength cell scoring module of the Metamorph software allows for image analysis.

For quantification of immunofluorescent images, 25-100 20x images per replicate were taken on the Molecular Devices ImageXpress Micro automated epifluorescence imager, followed by automated cell quantification using the multiwavelength cell scoring module within the MetaXpress analysis software.

For cell quantification, 25-50 20x images per replicate were taken on the Molecular Devices ImageXpress Micro automated epifluorescence imager, followed by automated cell quantification using the multiwavelength cell scoring module within the MetaXpress analysis software.

For automated quantification of immuno-fluorescent images, 25-100 20x images per replicate were taken on the Molecular Devices ImageXpress Micro automated epifluorescence imager, followed by automated cell quantification using the multiwavelength cell scoring module within the MetaXpress analysis software.

For example, Buyko et al. (2007) used conditional random fields to solve the problem of gene mention coordination, Tsuruoka et al. (2007) used a logistic regression method for learning a string similarity measure from a dictionary and Wermter et al. (2009) incorporate a semantic similarity scoring module in their GeNo gene-name normalization system.

Because the score was closely tied to the gameplay, LoPiccolo had to work closely with Church and Rob Fermier, the latter of whom wrote the "interactive scoring module" that allowed for dynamic music.

Several scoring modules to systematically assess SIJ magnetic resonance imaging (MRI) in SpA have been developed.

Several scoring modules to systematically assess SIJ MRI in SpA have been developed.

Finding global maximum scoring modules is NP-Hard [ 2], so a simulated annealing approach is taken.

Optimization-based and probabilistic approaches use mathematical derivations to determine best scoring modules.

The Matisse algorithm clusters by similarity, using the iterative addition of significant seed genes to find optimal scoring modules.