Ct3d: tracking microglia motility in 3D using a novel cosegmentation approach
نویسندگان
چکیده
MOTIVATION Cell tracking is an important method to quantitatively analyze time-lapse microscopy data. While numerous methods and tools exist for tracking cells in 2D time-lapse images, only few and very application-specific tracking tools are available for 3D time-lapse images, which is of high relevance in immunoimaging, in particular for studying the motility of microglia in vivo. RESULTS We introduce a novel algorithm for tracking cells in 3D time-lapse microscopy data, based on computing cosegmentations between component trees representing individual time frames using the so-called tree-assignments. For the first time, our method allows to track microglia in three dimensional confocal time-lapse microscopy images. We also evaluate our method on synthetically generated data, demonstrating that our algorithm is robust even in the presence of different types of inhomogeneous background noise. AVAILABILITY Our algorithm is implemented in the ct3d package, which is available under http://www.picb.ac.cn/patterns/Software/ct3d; supplementary videos are available from http://www.picb.ac.cn/patterns/Supplements/ct3d.
منابع مشابه
A Novel Sampling Approach in GNSS-RO Receivers with Open Loop Tracking Method
Propagation of radio occultation (RO) signals through the lower troposphere results in high phase acceleration and low signal to noise ratio signal. The excess Doppler estimation accuracy in lower troposphere is very important in receiving RO signals which can be estimated by sliding window spectral analysis. To do this, various frequency estimation methods such as MUSIC and ESPRIT can be adopt...
متن کاملA Novel Robust Adaptive Trajectory Tracking in Robot Manipulators
In this paper, a novel adaptive sliding mode control for rigid robot manipulators is proposed. In the proposed system, since there may exist explicit unknown parameters and perturbations, a Lyapunov based approach is presented to increase system robustness, even in presence of arbitrarily large (but not infinite) discontinuous perturbations. To control and track the robot, a continuous controll...
متن کاملVariational Image Segmentation and Cosegmentation with the Wasserstein Distance
We present novel variational approaches for segmenting and cosegmenting images. Our supervised segmentation approach extends the classical Continuous Cut approach by a global appearance-based data term enforcing closeness of aggregated appearance statistics to a given prior model. This novel data term considers non-spatial, deformationinvariant statistics with the help of the Wasserstein distan...
متن کاملMOMI-Cosegmentation: Simultaneous Segmentation of Multiple Objects among Multiple Images
In this study, we introduce a new cosegmentation approach, MOMI-cosegmentation, to segment multiple objects that repeatedly appear among multiple images. The proposed approach tackles a more general problem than conventional cosegmentation methods. Each of the shared objects may even appear more than one time in one image. The key idea of MOMI-cosegmentation is to incorporate a common pattern d...
متن کاملDesigning a predictive guidance and control system for maneuverable ground moving target tracking in 3D space using a Hexarotor
In this paper, the continuity of tracking a ground moving target using a Hexarotor is considered in the presence of sudden changes in direction, deceptive movements, temporary departure from the field of view (FOV) and changes in the height of the target. In this regard, a hierarchical guidance and control system for target tracking problem in an unknown environment and disturbances is proposed...
متن کامل