Polyglycerol coated polypropylene surfaces for protein and bacteria resistance

Polyglycerol (PG) coated polypropylene (PP) films were synthesized in a two- step approach that involved plasma bromination and subsequently grafting hyperbranched polyglycerols with very few amino functionalities. The influence of different molecular weights and density of reactive linkers were investigated for the grafted PGs. Longer bromination times and higher amounts of linkers on the surface afforded long-term stability. The protein adsorption and bacteria attachment of the PP-PG films were studied. Their extremely low amine content proved to be beneficial for preventing bacteria attachment

A Feature Set For Cytometry On Digitized Microscopic Images

. The feature set used for quantitative cytology at the laboratory for Biomedical Image Analysis of the GSF is described and illustrated. Additionally some fundamental remarks and concepts concerning the development of feature extraction methods are made. The feature set described is divided into shape, photometric and texture features. The latter are subdivided into feature groups of the whole object and of sub-regions like particles, e.g. eu- and hetero-chromatin. Main goal is to unify and gather the methods of feature extraction in cyto- and histometry allowing a standardized method of image analysis . The application of the set of features is shown in an overview of projects from di#erent fields. 1. Introduction The classical statistical approach, to evaluate a certain set of features (values, attributes) per object of interest, bases on the construction of correlation functions between object feature values and object attributes or diagnoses. The set of feature values i..

A Feature Set for Cytometry on Digitized Microscopic Images

Feature extraction is a crucial step in most cytometry studies. In this paper a systematic approach to feature extraction is presented. The feature sets that have been developed and used for quantitative cytology at the Laboratory for Biomedical Image Analysis of the GSF as well as at the Center for Image Analysis in Uppsala over the last 25 years are described and illustrated. The feature sets described are divided into morphometric, densitometric, textural and structural features. The latter group is used to describe the eu‐ and hetero‐chromatin in a way complementing the textural methods. The main goal of the paper is to bring attention to the need of a common and well defined description of features used in cyto‐ and histometrical studies. The application of the sets of features is shown in an overview of projects from different fields. Finally some rules of thumb for the design of studies in this field are proposed. Colour figures can be viewed on http://www.esacp.org/acp/2003/25‐1/rodenacker.htm

A Feature Set For Cytometry On Digitized Microscopic Images

Feature extraction is a crucial step in most cytometry studies. In this paper a systematic approach to feature extraction is presented. The feature sets that have been developed and used for quantitative cytology at the Laboratory for Biomedical Image Analysis of the GSF as well as at the Center for Image Analysis in Uppsala over the last 25 years are described and illustrated. The feature sets described are divided into morphometric, densitometric, textural and structural features. The latter group is used to describe the eu- and hetero-chromatin in a way complementing the textural methods. The main goal of the paper is to bring attention to the need of a common and well defined description of features used in cyto- and histometrical studies. The application of the sets of features is shown in an overview of projects from different fields. Finally some rules of thumb for the design of studies in this field are proposed

Automatical Analysis of Water Specimens for Phytoplankton Structure Estimation ⋆ Abstract

An automatic microscope scanning and recognition system on base of the Utermöhl method is developed for image acquisition, archiving (optical fixation) and phytoplankton analysis. The system, called PLASA (PLAnkton Structure Analysis), enables a characterization of water specimens by their populations. It is described in detail with focus on the image analytical aspects. Plankton chambers are scanned by selectable grid and objective(s). Acquisition positions are automatically focussed and digitized by a TV camera in bright field and, using samples adequately fixed (e.g. with glutaraldehyde), in fluorescence. Interactive programs for design of training sets, image analysis with numerous quantitative features and automatical classifications for a number of organisms are developed and implemented. A long term experiment (23 weeks, 4 locations for water specimens) is performed to generate a reliable data set for training and testing purposes. These data are used to present exemplarily some results for phytoplankton structure characterization. PLASA presents an automated system, comprising all steps from sample processing to algae identification up to species level and quantification. Key words: phytoplankton, structure analysis, quantification, automated microscope, digital image analysi

Automatic Cell Segmentation in Cyto- and Histometry Using Dominant Contour Feature Points

Automatic cell segmentation has various application potentials in cytometry and histometry. In this paper, an automatic cluster (touching) cell segmentation approach using the dominant contour feature points has been presented. Dominant feature points are the locations of indentation on the contour of the cluster. First, dominant feature points on the contour of the cluster are detected by distance profile. Next, using shape features of the cells, these feature points are selected for segmentation. We compared the results of the proposed method with manual segmentation and observed that the method has an overall accuracy about to 82%

Intensity Segmentation of the Human Brain with Tissue dependent Homogenization ⋆

High-precision segmentation of the human cerebral cortex based on T1-weighted MRI is still a challenging task. When opting to use an intensity based approach, careful data processing is mandatory to overcome inaccuracies. They are caused by noise, partial volume effects and systematic signal intensity variations imposed by limited homogeneity of the acquisition hardware. We propose an intensity segmentation which is free from any shape prior. It uses for the first time alternatively grey (GM) or white matter (WM) based homogenization. This new tissue dependency was introduced as the analysis of 60 high resolution MRI datasets revealed appreciable differences in the axial bias field corrections, depending if they are based on GM or WM. Homogenization starts with axial bias correction, a spatially irregular distortion correction follows and finally a noise reduction is applied. The construction of the axial bias correction is based on partitions of a depth histogram. The irregular bias is modelled by Moody Darken radial basis functions. Noise is eliminated by nonlinear edge preserving and homogenizing filters. A critical point is the estimation of the training set for the irregular bias correction in the GM approach. Because of intensity edges between CSF (cerebro spinal fluid surrounding the brain and within the ventricles), GM and WM this estimate shows an acceptable stability. By this supervised approach a high flexibility and precision for the segmentation of normal and pathologic brains is gained. The precision of this approach is shown using the Montreal brain phantom. Real data applications exemplify the advantage of the GM based approach, compared to the usual WM homogenization, allowing improved cortex segmentation

Chapter 28 QUANTIFICATION AND SPATIAL RELATIONSHIP OF MICROORGANISMS IN SUB-AQUATIC AND SUB-AERIAL BIOFILMS

Similarity is the one and only measurement of qualities. Explanations and ideas cannot be transferred without images. The transition from qualitative observation, comparison and description to quantitative and objective findings by measurements is rarely done for properties of object

Mib-1, Agnor And Dna Distribution Parameters And Their Prognostic Value In Neuroendocrine Tumours Of The Lung

One of the most important questions in clinical routine is to find out patients with good or worse prognosis to apply an optimal therapy scheme for each patient. In this study 58 patients with different neuroendocrine tumours of the lung were investigated. Histological sections were prepared with different stainings (MIB-1, AgNOR, Feulgen). By means of high resolution image cytometry stereological parameters were derived which are indicators for proliferation, ploidy and kinetics of the tumours. Cox regression analysis was calculated to test the significance of the parameters with regard to prognosis. The best parameter was MIB-1 which can easily be applied as a clinical standard staining and measurement. Keywords: AgNOR, carcinoid, DNA distribution, image analysis, MIB-1, neuroendocrine lung tumours, prognosis, small cell carcinoma INTRODUCTION Lung cancer is in industrial countries the most frequent cause of death for men and women. The overall 5-year survival rate is only about 1..

Spatio-Temporal Data Analysis with Non-Linear Filters: Brain Mapping with fMRI Data

Spatio-temporal digital data from fMRI (functional Magnetic Resonance Imaging) are used to analyse and to model brain activation. To map brain functions, a well-defined sensory activation is offered to a test person and the hemodynamic response to neuronal activity is studied. This so-called BOLD effect in fMRI is typically small and characterised by a very low signal to noise ratio. Hence the activation is repeated and the three dimensional signal (multi-slice 2D) is gathered during relatively long time ranges (3-5 min). From the noisy and distorted spatio-temporal signal the expected response has to be filtered out. Presented methods of spatio-temporal signal processing base on non-linear concepts of data reconstruction and filters of mathematical morphology (e.g. alternating sequential morphological filters). Filters applied are compared by classifications of activations