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Janina Schulz

Janina Schulz
Carl Zeiss Microscopy GmbH
Germany
schulzja (ät) web.de
Janina Schulz received her Diploma (approx. equiv. to M.Sc.) in computer science in 2006 from the University of Freiburg, Germany. From 2006-2009 she was a research associate within the Pattern Recognition and Image Analysis Group, then headed by Prof. Burkhardt, University of Freiburg, Germany. Since 2009 she is with the Carl Zeiss Microscopy GmbH, Germany.

Journal articles

2010
P Hamm, J Schulz, K - H Englmeier (2010)  Content-based Autofocusing in Automated Microscopy   Image Analysis and Stereology November 2010  
Abstract: Autofocusing is the fundamental step when it comes to image acquisition and analysis with automated microscopy devices. Despite all efforts that have been put into developing a reliable autofocus system, recent methods still lack robustness towards different microscope modes and distracting artefacts. This paper presents a novel automated focusing approach that is generally applicable to different microscope modes (bright-field, phase contrast, Differential Interference Contrast (DIC) and fluorescence microscopy). The main innovation consists in a Content-based focus search that makes use of a priori knowledge about the observed objects by employing local object features and Boosted Learning. Hence, this method turns away from common autofocus approaches that apply solely whole image frequency measurements to obtain the focus plane. Thus, it is possible to exclude artefacts from being brought into focus calculation as well as locating the in-focus layer of specific microscopic objects.
Notes:
2007
C Haller, J Schulz, A Schmidt-Trucksäss, H Burkhardt, D Schmitz, H - H Dickhuth, M Sandrock (2007)  Sequential based analysis of Intima-Media Thickness (IMT) in common carotid artery studies.   Atherosclerosis 195: 2. e203-e209 Dec  
Abstract: Carotid Intima-Media Thickness (IMT) is used widely to assess an individual's risk of myocardial infarction and stroke. Although significant associations have been showed, IMT as used in major studies does not improve prediction of cardiovascular events much compared to traditional risk factors. Therefore, a new approach to IMT-measurements is sought-after by examining the wall structure continuously throughout several heart cycles.
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Book chapters

2010
R Winkler, J Schulz, M Merkel, A Öchsner (2010)  Finite Element Vibration Analysis of MHSS Based on 3D Tomography Image Processing   In: Materials with Complex Behaviour - Modelling, Simulation, Testing, and Applications Edited by:A Öchsner, L F Martins da Silva, H Altenbach. Springer Berlin Heidelberg isbn:978-3-642-12666-6  
Abstract: Well-known advantages of cellular metals are their high ability for energy absorption, good damping behaviour, sound absorption and a high specific stiffness. Metallic hollow sphere structures (MHSS) feature a new group of advanced composite materials characterised by high geometrical reproducibility leading to stable properties in comparison to foams. This paper presents a Finite Element (FE) model for vibration analysis of MHSS. Due to the fact that an extraordinary detailed model would exceed available computing resources we developed a proper FE model with special description for hollow spheres and interconnections. Our approach uses model configurations such as cubic centred, face centred or hexagonal closest packing structures. We perform vibration analysis using the real geometry gained by Computed Tomography (CT) images. The location, centre point and radius of each sphere have to be determined for a CT based simulation. Therefore, an image processing method will be presented in detail. The numerical results for different structures are compared with experimental data.
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Conference papers

2008
J Fehr, O Ronneberger, J Schulz, T Schmidt, M Reisert, H Burkhardt (2008)  Invariance via Group-Integration: A Feature Framework for 3D Biomedical Image Analysis   In: Proceedings of Computer Graphics and Imaging (CGIM), 2008, Innsbruck, Austria  
Abstract: One very generic approach towards the construction of features achieves invariance against a certain transfor mation via integration over the respective mathematical group. In this paper we present a general framework for invariant feature design via group integration for biomed ical image analysis on 3D volumetric data, and show the common mathematical context of several previously published invariant methods which are all covered by this basic framework. We focus on the mathematical design paradigms of such features and provide fast implementa tion methods. Further we embed a priori knowledge into the design of highly specialized features. Practical appli cations to these methods are shown on several different datasets with a wide range of different biomedical image analysis problems.
Notes:
2006
J Schulz, T Schmidt, O Ronneberger, H Burkhardt, T Pasternak, A Dovzhenko, K Palme (2006)  Fast Scalar and Vectorial Grayscale Based Invariant Features for 3D Cell Nuclei Localization and Classification   In: Pattern Recognition, Lecture Notes in Computer Science Edited by:K Franke, KR Müller, B Nickolay, R Schäfer. 182-191 Springer Berlin Heidelberg (DAGM Award 2006)  
Abstract: Since biology and medicine apply increasingly fast volumetric imaging techniques and aim at extracting quantitative data from these images, the need for efficient image analysis techniques like detection and classification of 3D structures is obvious. A common approach is to extract local features, e.g. group integration has been used to gain invariance against rotation and translation. We extend these group integration features by including vectorial information and spherical harmonics descriptors. From our vectorial invariants we derive a very robust detector for spherical structures in low-quality images and show that it can be computed very fast. We apply these new invariants to 3D confocal laser-scanning microscope images of the Arabidopsis root tip and extract position and type of the cell nuclei. Then it is possible to build a biologically relevant, architectural model of the root tip.
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Talks

2008
2006

Awards

2006

Monographs

2006
2004
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