FPGA based hardware accelerators have become more and more important for bioinformatics applications. These applications use wide range of algorithms, including searches in large databases, sequence alignment, statistical analysis and image processing. A part of these algorithms can be efficiently accelerated using FPGA devices. Biological and biomedical experiments like microarray experiments ...

Kurzfassung. Methods to evaluate migration capacity of stem cells and the inhibition by chemicals are important for biomedical research. Here, we established an automated image processing framework to quantify migration of human neural crest (NC) cells into an initially empty, circular region of interest (ROI). The ROI is partially filled during the experiment by migrating cells. Based on an im...

This article presents a new approach for constructing connected operators for image processing and analysis. It relies on a hierarchical Markovian unsupervised algorithm in order to classify the nodes of the traditional Max-Tree. This approach enables to naturally handle multivariate attributes in a robust non-local way. The technique is demonstrated on several image analysis tasks: filtering, ...

The interdisciplinary area of digital signal and image processing forms a basis for de-noising, enhancement, recovery and classification of biomedical images. The paper is devoted to the wavelet transform as a general mathematical tool and its use for image decomposition and reconstruction to recover its corrupted regions. The main part of the paper is devoted to image decomposition, thresholdi...

*Correspondence: [email protected] 3DAMTP, University of Cambridge, Wilberforce Road, CB3 0WA Cambridge, UK Full list of author information is available at the end of the article Abstract The last fifty years have seen an impressive development of mathematical methods for the analysis and processing of digital images, mostly in the context of photography, biomedical imaging and various forms of e...

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

Magnetic resonance imaging (MRI) of rodent brains enables study of the development and the integrity of the brain under certain conditions (alcohol, drugs etc.). However, these images are difficult to analyze for biomedical researchers with limited image processing experience. In this paper we present an image processing pipeline running on a Midas server, a web-based data storage system. It is...

In this paper, we propose a computer information processing algorithm that can be used for biomedical image processing and disease prediction. A biomedical image is considered a data object in a multi-dimensional space. Each dimension is a feature that can be used for disease diagnosis. We introduce a new concept of the top (k1,k2) outlier. It can be used to detect abnormal data objects in the ...