Bayesian inference for the automated adjustment of an image segmentation pipeline — A modular approach applied to wound healing assays

摘要

Background:Dynamical biological and physiological processes as the migration of single cells, collective cell movement during tissue formation or the metastasis of tumors can nowadays be observed under in-vitro and in-vivo conditions. High temporal and spatial resolution require automated image segmentation and analysis. Although, open source and commercial software allow the segmentation of target regions, all parameters of an appropriate image processing algorithm have to be adapted manually by the user. Typically the experimenter knows details about the resulting images whereas he might not be trained to adapt parameters of segmentation algorithms.