Sentence examples for for each nucleus in the image from inspiring English sources

Exact(1)

Briefly, a mean value of intranuclear fluorescence intensity was calculated for each nucleus in the image using an automated nucleus segmentation algorithm.

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All the nuclei in the image (Fig. 3A i ) were segregated as either osteoclastic if they resided in αvβ3 positive cells with ≧2 nuclei (Fig. 3A iii ) or monocytic for all other mononuclear cells (Fig. 3A ii ).

Nuclei in the first image attained brownish colour (expressed nuclei) and in the second image bluish colour (nonexpressed nuclei).

For measurement of the size of the nucleus in dTSCs, fluorescence images after DAPI staining were processed using the CellProfiler software as described previously56.

For each patient, the image data were pooled across i) all nuclei in a duct (10 assessments), ii) all nuclei in a field (2 assessments), and iii) all nuclei for a patient (1 assessment) to yield a summary feature value [adjusted mean = mean/ standard error of the mean)], for each of the 39 image features for nuclei of the 13 different assessments per patient: 10 ducts, 2 fields, 1 overall.

Counting nuclei is similar to counting objects in the image.

Thirty-nine computer image features were extracted for each nucleus that described morphometry (size and shape of nuclei), densitometry (amount of staining of the nuclei), and texture (arrangement of staining in the nucleus).

3D image stacks were collected for each nucleus at 0.2 micrometer Z-spacing.

For semiquantification of MitoSOX fluorescence, five non adjacent images were taken for each group under identical exposure condition and cell numbers (Hoecst positive nuclei) in each image were counted.

In this work, a method is developed for the robust segmentation of cell nuclei in histological images based on the principles of persistent homology.

Bioreagent (4′,6-diamidino-2-phenylindole dihydrochloride (DAPI) from Sigma Aldrich) was used for immunofluorescent localization of nuclei in confocal images.

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