Instance segmentation of cells and nuclei from multi-organ cross-protocol microscopic images.

ABSTRACT:

Background

Light microscopy is a widely used technique in cell biology due to its satisfactory resolution for cellular structure analysis, prevalent availability of fluorescent probes for staining, and compatibility for the dynamic analysis of live cells. However, the segmentation of cells and nuclei from microscopic images is not a straightforward process because it has several challenges such as high variation in morphology and shape, the presence of noise and diverse contrast in backgrounds, clustering or overlapping nature of cells. Dealing with these challenges and facilitating more reliable analysis necessitates the implementation of computer-aided methods that leverage image processing techniques and deep learning algorithms. The major goal of this study is to propose a mode

SUBMITTER: Baral S 

PROVIDER: S-EPMC11400680 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature