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The optical redox ratio, NADH fluorescence intensity divided by FAD fluorescence intensity, was computed for each cell in the image using ImageJ software (NIH).
Next, a NADH/FAD per pixel image was computed and the redox ratio for each cell in the image was determined.
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Images are processed, and the amount of lipid is quantified for each cell in each image.
Together, these steps generated an individual 2D segmentation for each cell wall image in the stack.
For each cell j in the cluster, follow the following steps: Open image in new window.
In this paper, the mathematical morphology-based image processing method was used for cell segmentation in the images of the histological sections.
In addition, biomarker staining was compared quantitatively for each cell line using image analysis.
Quantitative comparison of mean process motility was calculated for individual cells; for each cell, sequential images in a time-series (taken 10 s apart) were aligned and binarized, and then image subtractions between consecutive images were performed.
The PSF map is used to adjust the detect cell size for each pixel in the input image.
In addition a bright field image was taken for each cell to get the blue outline in the overlaid images.
This was also performed for all CD133− cells in each image.
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