A Method of Hepatocytes Segmentation in Microscopic Images of Trypan Blue Stained Cellular Suspension

Automatic detection and count of cells in microscopic images of cellular suspension could provide a useful tool for scientists, that have to perform this task by hand. This paper presents an algorithm that can count and outline hepatocytes using a set of filters and texture analysis. The set of filters and algorithms that were used prior to morphological segmentation were in order: Enhancing local contrast using CLAHE algorithm, Morphological gradient, Anisotropic Diffusion, Sobel edge detector. After this set of filters, morphological segmentation is carried out which consists of: Morphological gradient, Imposing minima, Watershed flooding. Further improving and developing of the algorithm is planned. Clustered cells need to be separated. When this goal is accomplished cells can be counted and an algorithm that is capable of classification of cells as dead or alive will be developed.

Automated summary

This paper presents an algorithm for automated count and outline of hepatocytes using filters and texture analysis. The algorithm includes a series of filters and algorithms for morphological segmentation, and there are plans for further improvement and development.