Degree of differentiation in tumor cells is an important diagnostic tool, used by pathologists for assess the state of the malignancy and the patient's prognosis. Poorly differentiated tumors are generally considered to be more aggressive than those which are well differentiated. Changes in dendritic phenotype, cell size, and nuclear size and shape, as well as other morphological parameters, are associated with the state of differentiation of cells. Thus, cell morphology is an important diagnostic tool, used by pathologists to assess the state of the malignancy and the patient's prognosis.
In this presentation, we will discuss the use of computerized morphological analysis to follow the transition between the differentiated and non-differentiated states in B16 melanoma cells which were treated with butyrate, and then imaged inside of a microscope mounted incubator for 72 hours. Although there are many strategies for morphological analysis, the problem of segmentation of individual cells, especially from crowded fields, is often not addressed. In this presentation, static and dynamic morphometric measurements of both untreated and butyrate treated B16 melanoma cells are presented. In addition, we introduce a strategy which enables segmentation of individual cells within crowded fields.
Morphometry, live cell imaging,
Presenting author: Aryeh Weiss
Organisation: Bar Ilan University
co-authors: Michal Safrai, Dana Darvish, Zvi Malik