Simplified, automated methods for assessing pixel intensities of fluorescently-tagged drugs in cells.

ABSTRACT: Assessing the cytoplasmic uptake of fluorescently-tagged drugs in heterogeneous cell types currently involves time-consuming manual segmentation of confocal microscopy images. We developed a set of methods that incorporate map algebra techniques to facilitate and expedite image segmentation, particularly of the parenchyma of intermediate cells in the stria vascularis of the inner ear. Map algebra is used to apply a convolution kernel to pixel neighborhoods to create a masking image to select pixels in the original image for further operations. Here, we describe the utility of integrated intensity-based, percentile-based, and local autocorrelation-based methods to automate segmentation of images into putative morphological regions for pixel intensity analysis. Integrated intensity-based met

SUBMITTER: Kachelmeier A 

PROVIDER: S-EPMC6211712 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature