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Biomedical subjects

Luciano da F Costa

Publications and source records attributed to Luciano da F Costa.

4 recordsLinked to original sources

High-resolution episcopic microscopy: a rapid technique for high detailed 3D analysis of gene activity in the context of tissue architecture and morphology.

We describe a new methodology for rapid 2D and 3D computer analysis and visualisation of gene expression and gene product pattern in the context of anatomy and tissue architecture. It is based on episcopic imaging of embryos and tissue samples, as they are physically sectioned, thereby producing inherently aligned digital image series and volume data sets, which immediately permit the generation of 3D computer representations. The technique uses resin as embedding medium, eosin for unspecific tissue staining, and colour reactions (beta-galactosidase/Xgal or BCIP/NBT) for specific labelling of gene activity and mRNA pattern. We tested the potential of the method for producing high-resolution volume data sets of adult human and porcine tissue samples and of specifically and unspecifically stained mouse, chick, quail, frog, and zebrafish embryos. The quality of the episcopic images resembles the quality of digital images of true histological sections with respect to resolution and contrast. Specifically labelled structures can be extracted using simple thresholding algorithms. Thus, the method is capable of quickly and precisely detecting molecular signals simultaneously with anatomical details and tissue architecture. It has no tissue restrictions and can be applied for analysis of human tissue samples as well as for analysis of all developmental stages of embryos of a wide variety of biomedically relevant species.

Animals↗

Self-referred approach to lacunarity.

This paper describes an approach to lacunarity which adopts the pattern under analysis as the reference for the sliding window procedure. The superiority of such a scheme with respect to more traditional methodologies, especially when dealing with finite-size objects, is established and illustrated through applications to diffusion limited aggregation pattern characterization. It is also shown that, given the enhanced accuracy and sensitivity of this scheme, the shape of the window becomes an important parameter, with advantage for circular windows.

Journal Article↗

Characterizing width uniformity by wave propagation.

This work describes a different image analysis approach to characterize the uniformity of objects in agglomerates by using the propagation of normal wave fronts. The problem of width uniformity is discussed and its importance for the characterization of composite structures normally found in physics and biology highlighted. The methodology involves identifying each cluster (i.e., connected component) of interest, which can correspond to objects or voids, and estimating the respective medial axes by using a recently proposed wave front propagation approach, which is briefly reviewed. The distance values along such axes are identified and their mean and standard deviation values obtained. As illustrated with respect to synthetic and real objects (in vitro cultures of neuronal cells), the combined use of these two features provides a powerful description of the uniformity of the separation between the objects, presenting potential for several applications in material sciences and biology.

Journal Article↗

Statistical characterization of morphological features of layer-by-layer polymer films by image analysis.

This article presents an image analysis-based approach to the statistical characterization of morphological features in layer-by-layer (LBL) polymer films, which depend on the experimental conditions of fabrication. The method is based on the recently introduced concept of exact dilations. This concept allows the precise determination of all possible parallel contours around any general object and, as a consequence, the respective fully accurate Voronoi partition defined by the objects. With the use of a fast wavefront propagation scheme, such diagrams can be obtained at high speed. The method has been applied to statistically characterize features such as grain size and distribution on LBL polymer films. To do this, the polymer surface is tracked from its highest z values downward to its bottom, and each new connected component is detected as a Voronoi seed. Through determination of equivalent radii of the Voronoi cells, the probability density function characterizing the distribution of the domain radius can then be obtained.

Image Processing, Computer-Assisted↗