Fmw Frans Kanters

The influence of matrix integrity on stress-fiber remodeling in 3D.

Matrix anisotropy is important for long term in vivo functionality. However, it is not fully understood how to guide matrix anisotropy in vitro. Experiments suggest actin-mediated cell traction contributes. Although F-actin in 2D displays a stretch-avoidance response, 3D data are lacking. We questioned how cyclic stretch influences F-actin and collagen orientation in 3D. Small-scale cell-populated fibrous tissues were statically constrained and/or cyclically stretched with or without biochemical agents. A rectangular array of silicone posts attached to flexible membranes constrained a mixture of cells, collagen I and matrigel. F-actin orientation was quantified using fiber-tracking software, fitted using a bi-model distribution function. F-actin was biaxially distributed with static constraint. Surprisingly, uniaxial cyclic stretch, only induced a strong stretch-avoidance response (alignment perpendicular to stretching) at tissue surfaces and not in the core. Surface alignment was absent when a ROCK-inhibitor was added, but also when tissues were only statically constrained. Stretch-avoidance was also observed in the tissue core upon MMP1-induced matrix perturbation. Further, a strong stretch-avoidance response was obtained for F-actin and collagen, for immediate cyclic stretching, i.e. stretching before polymerization of the collagen. Results suggest that F-actin stress-fibers avoid cyclic stretch in 3D, unless collagen contact guidance dictates otherwise.

Strain-induced collagen organization at the micro-level in fibrin-based engineered tissue constructs.

Full understanding of strain-induced collagen organization in complex tissue geometries to create tissues with predefined collagen architecture has not been achieved. This is mainly due to our limited knowledge of collagen remodeling in developing tissues. Here we investigate strain-induced collagen (re)organization in fibrin based engineered tissues using nondestructive time-lapse imaging. The tissues start from a biaxially constrained myofibroblast-populated fibrin gel and are used to study: (A) remodeling from a static equi-biaxial loading condition to static uniaxial loading; and (B) remodeling of a biaxially constrained tissue under uniaxial cyclic straining before and after a change in strain direction. Under static conditions, collagen oriented parallel to the direction of strain, whereas under cyclic conditions the orientation in the constrained tissue was perpendicular to the direction of strain. It is concluded that due to the biaxial constraints the uniaxially, cyclically strained cells can exert forces in two directions and strain shield themselves. A subsequent change in the direction of cyclic straining resulted in a rapid reorientation of collagen at the tissue surface. Reorientation was significantly slower in deeper tissue layers, where tissue remodeling was dominated by contact guidance provided by the endogenous matrix. These findings emphasize the relevance of achieving a functional collagen organization right from the start of tissue culture.

A comparative analysis of the collagen architecture in the carotid artery: second harmonic generation versus diffusion tensor imaging.

Collagen is the main load-bearing component of the artery. The 3D arrangement of the collagen fibers is crucial to understand the mechanical behavior of such tissues. We compared collagen fiber alignment obtained by second harmonic generation (SHG) microscopy with the alignment obtained by diffusion tensor imaging (DTI) throughout the wall of a porcine carotid artery to check the feasibility of using DTI as a fast and non-destructive method instead of SHG. The middle part of the artery was cut into two segments: one for DTI and one for the SHG measurements. The tissue for SHG measurements was cut into 30μm tangential sections. After scanning all sections, they were registered together and the fiber orientation was quantified by an in-house algorithm. The tissue for DTI measurement was embedded in type VII agarose and scanned with an MRI-scanner. Fiber tractography was performed on the DTI images. Both methods showed a layered structure of the wall. The fibers were mainly oriented circumferentially in the outer adventitia and media. DTI revealed the predominant layers of the arterial wall. This study showed the feasibility of using DTI for evaluating the collagen orientation in native artery as a fast and non-destructive method.

A Linear Image Reconstruction Framework Based on Sobolev Type Inner Products

Exploration of information content of features that are present in images has led to the development of several reconstruction algorithms. These algorithms aim for a reconstruction from the features that is visually close to the image from which the features are extracted. Degrees of freedom that are not fixed by the constraints are disambiguated with the help of a so-called prior (i.e. a user defined model). We propose a linear reconstruction framework that generalizes a previously proposed scheme. The algorithm greatly reduces the complexity of the reconstruction process compared to non-linear methods. As an example we propose a specific prior and apply it to the reconstruction from singular points. The reconstruction is visually more attractive and has a smaller 핃2-error than the reconstructions obtained by previously proposed linear methods.

Content Based Image Retrieval Using Multiscale Top Points

A feasibility study for a new method for content based image retrieval is presented. First, an image representation using multiscale top points is introduced. This representation is validated using a minimal variance reconstruction algorithm. The image retrieval problem can now be translated into comparing distances between point sets. For this purpose the proportional transportation distance (PTD) is used. A method is proposed using multiscale top points and their reconstruction coefficients in the PTD to define these distances between images. We present some experiments with promising results on a database with face images.

Image reconstruction from multiscale critical points

A minimal variance reconstruction scheme is derived using derivatives of the Gaussian as filters. A closed form mixed correlation matrix for reconstructions from multiscale points and their local derivatives up to the second order is presented. With the inverse of this mixed correlation matrix, a reconstruction of the image can be easily calculated. Some interesting results of reconstructions from multiscale critical points are presented. The influence of limited calculation precision is considered, using the condition number of the mixed correlation matrix.

Towards a new paradigm for motion extraction

A new multiscale paradigm is proposed for motion extraction. It exploits the fact that certain geometrically meaningful, isolated points in scale space provide unambiguous motion evidence, and the fact that such evidence narrows down the space of admissible motion fields. The paradigm combines the strengths of multiscale and variational frameworks. Besides spatial velocity, two additional degrees of freedom are taken into account, viz. a temporal and an isotropic spatial scale component. The first one is conventionally set to unity (“temporal gauge”), but may in general account for creation or annihilation of structures over time. The second one pertains to changes in the image that can be attributed to a sharpening or blurring of structures over time. This paper serves to introduce the new generalized motion paradigm de-emphasizing performance issues. We focus on the conceptual idea and provide recommendations for future directions.

Combining different types of scale space interest points using canonical sets

Scale space interest points capture important photometric and deep structure information of an image. The information content of such points can be made explicit using image reconstruction. In this paper we will consider the problem of combining multiple types of interest points used for image reconstruction. It is shown that ordering the complete set of points by differential (quadratic) TV-norm (which works for single feature types) does not yield optimal results for combined point sets. The paper presents a method to solve this problem using canonical sets of scale space features. Qualitative and quantitative analysis show improved performance over simple ordering of points using the TV-norm.