International audienceThe existence of benchmark datasets is essential to objectively evaluate various image analysis methods. Nevertheless, manual annotations of fluorescence microscopy image data are very laborious and not often practicable, especially in the case of 3D+t experiments. In this work, we propose a simulation system capable of generating 3D time-lapse sequences of single motile cells with filopodial protrusions, accompanied by inherently generated ground truth. The system consists of three globally synchronized modules, each responsible for a separate task: the evolution of filopodia on a molecular level, linear elastic deformation of the entire cell with filopodia, and generation of realistic, time-coherent cell texture. The...
International audienceWe present a simple and parameter-free nuclei tracking method for reconstructi...
Abstract Background Filopodia are small cellular proj...
Recent developments in live-cell microscopy imaging have led to the emergence of Single Cell Biology...
International audienceThe existence of benchmark datasets is essential to objectively evaluate vario...
International audienceThe existence of diverse image datasets accompanied by reference annotations i...
In recent years many automated methods for detection and tracking of sub cellular structures in live...
Time-lapse fluorescent microscopy (TLFM) combined with predictive mathematical modelling is a powerf...
To train deep learning based segmentation models, large ground truth data sets are needed. To addres...
Manual evaluation of fluorescent microscopy cell experiments is time-consuming and tedious work. The...
The paper reports on a novel method for reconstruction of cellular features including cell nuclei an...
We explore the dynamics of cancer cell filopodia of diameters around 200 nm by using super-resolutio...
The analysis of the motion of subcellular particles in live cell microscopy images is essential for ...
Fluorescence time-lapse microscopy has become a powerful tool in the study of many biological proces...
We present a new method for modeling the development of settled specimens with filamentous growth pa...
© 2017 Dr. Liyan LiuTime-lapse fluorescence microscopy coupled with single-cell tracking and an appr...
International audienceWe present a simple and parameter-free nuclei tracking method for reconstructi...
Abstract Background Filopodia are small cellular proj...
Recent developments in live-cell microscopy imaging have led to the emergence of Single Cell Biology...
International audienceThe existence of benchmark datasets is essential to objectively evaluate vario...
International audienceThe existence of diverse image datasets accompanied by reference annotations i...
In recent years many automated methods for detection and tracking of sub cellular structures in live...
Time-lapse fluorescent microscopy (TLFM) combined with predictive mathematical modelling is a powerf...
To train deep learning based segmentation models, large ground truth data sets are needed. To addres...
Manual evaluation of fluorescent microscopy cell experiments is time-consuming and tedious work. The...
The paper reports on a novel method for reconstruction of cellular features including cell nuclei an...
We explore the dynamics of cancer cell filopodia of diameters around 200 nm by using super-resolutio...
The analysis of the motion of subcellular particles in live cell microscopy images is essential for ...
Fluorescence time-lapse microscopy has become a powerful tool in the study of many biological proces...
We present a new method for modeling the development of settled specimens with filamentous growth pa...
© 2017 Dr. Liyan LiuTime-lapse fluorescence microscopy coupled with single-cell tracking and an appr...
International audienceWe present a simple and parameter-free nuclei tracking method for reconstructi...
Abstract Background Filopodia are small cellular proj...
Recent developments in live-cell microscopy imaging have led to the emergence of Single Cell Biology...