Sentence examples for method to segregate from inspiring English sources

This paper reports our automatic method to segregate CB and OLs, in particular under conditions where the signal to noise ratio (SNR) is low, the variation of the image intensity is big, and the relative displacement of OLs and CB is substantial.

Then, we discuss our method to segregate the state space into three subspaces.

Here we devised a method to segregate RBCs according to their PMCA strength to be able to measure directly the age of the segregated RBCs.

The increasing clinical use of genomic profiling demands identification of more effective methods to segregate patients into prognostic and treatment groups.

Specific objectives were to achieve overall adenovirus clearance factors significantly greater than input levels by using orthogonal separation and inactivation methods, and to segregate adenovirus from downstream operations by positioning a robust clearance step early in the process.

Geographic Object-Based Image Analysis (GEOBIA) is the method to electronically segregate feature/object boundaries within digital images to facilitate classification and further analysis (Hay and Castilla 2008).

Following this, in the section "Cluster identification using phenotypes from control and multiple compounds", the ability of the proposed method to automatically segregate phenotypes arising from the effect of different compounds is analyzed.

A tree-cutting method was used to segregate clusters from the dendrogram generated by GDEC clustering.

The multiple domain methods were better able to segregate asthmatics and non-asthmatics compared to the single-domain methods because disease status information was explicitly used to define the subject groups.

However, while various neuronal identification and laser microdissection methods have been employed to segregate dopamine neurons from surrounding brain tissue, the critical issue of sample purity has not been adequately addressed.

With the increasing clinical use of genomic profiling, which is producing very large amounts of data for large numbers of patients, methods to use this data to segregate patients into prognostic and treatment groups is increasingly important.