The growing field of stem cell therapy is moving toward clinical trials in a variety of applications, particularly for neurological diseases. However, this translation of cell therapies into humans has prompted a need to create innovative and breakthrough methods for stem cell tracing, to explore the migration routes and its reciprocity with microenvironment targets in the body, to monitor and ...

Personalized diagnosis and treatment with allogenic or autologous cells have been intensively investigated over the past decade. Despite the promising findings in preclinical studies, the clinical results to date have been largely disappointing. Some critical issues remain to be solved, such as how to monitor the migration, homing, survival, and function of the transplanted cells in vivo. In th...

To shed light on the processes driving cell migration, a systematic analysis of behavior is required. Since manual hundreds or even thousands cells infeasible, automated approaches for segmentation and tracking are needed. While task deep learning has become standard, there few simultaneous using learning. Here, we present EmbedTrack, single convolutional neural network which predicts human com...

We present a novel framework for high-throughput cell lineage analysis in time-lapse microscopy images. Our algorithm ties together two fundamental aspects of cell lineage construction, namely cell segmentation and tracking, via a Bayesian inference of dynamic models. The proposed contribution exploits the Kalman inference problem by estimating the time-wise cell shape uncertainty in addition t...

In recent years, soft computing methods, like fuzzy logic and neural networks have been  presented and developed for the purpose of mobile robot trajectory tracking. In this paper we will present a fuzzy approach to the problem of mobile robot path tracking for the CEDRA rescue robot with a complicated kinematical model. After designing the fuzzy tracking controller, the membership functions an...

We propose a novel automatic tracking system capable of tracking fast-moving, small objects under extreme conditions by using high-speed visual feedback for assessing sperm chemotaxis. The system shows remarkable performance and versatility, good enough for practical use in biology. Experimental results showed that we successfully achieved continuous stable tracking of swimming ascidian spermat...