Gustaf Kylberg

Gustaf Kylberg
Vironova AB · RnD

PhD

About

23
Publications
11,086
Reads
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338
Citations
Introduction
Gustaf Kylberg currently works as Head of R&D at Vironova AB. Gustaf does research and method development together with Vironova's R&D team within automation of electron microscopy and analysis of various biological and material samples. At the heart of his methodology are image processing, pattern recognition and machine learning. He has been heavily involved in the development of the MiniTEM system; an easy to use table-top transmission electron microscope that provides a high degree of automation.
Additional affiliations
February 2008 - March 2014
Uppsala University
Position
  • PhD Student
Education
February 2008 - March 2014
Uppsala University
Field of study
  • Image Analysis
September 2003 - March 2008
Uppsala University
Field of study
  • Biotechnology

Publications

Publications (23)
Article
Full-text available
Transmission electron microscopy (TEM) allows for visualizing and analyzing viral particles and has become a vital tool for the development of vaccines and biopharmaceuticals. However, appropriate TEM sample preparation is typically done manually which introduces operator-based dependencies and can lead to unreliable results. Here, we present a cap...
Conference Paper
Viral vector-based therapies are on the rise in the biopharma industry. These therapies include gene therapy, vaccines, and oncolytic virotherapy. During the development of these viral vectors, it is critical to have access to accurate analytical data. This holds for both early and late-stage process development. Reducing risk and having access to...
Article
Full-text available
Advancing TEM Based Biomedical Nanoparticle Characterization: GMP Compliant TEM Workflow in a BSL2 Environment and Automation Using MiniTEM - Volume 25 Supplement - Mathieu Colomb-Delsuc, Johan Härmark, Birgitta Eriksson, Rickard Nordström, Vanessa Carvalho, Gustaf Kylberg, Ida-Maria Sintorn
Article
Automatic mosaicing is an important image processing application and we propose several improvements and simplifications to the image registration pipeline used in microscopy to automatically construct large images of whole specimen samples from a series of images. First of all we propose a feature descriptor based on the amplitude of a few element...
Conference Paper
Descriptors such as SURF and SIFT contain a framework for handling rotation and scale invariance, which generally is not needed when registration and stitching of images in microscopy is the focus. Instead speed and efficiency are more important factors. We propose a descriptor that performs very well for these criteria, which is based on the idea...
Article
Full-text available
Automated Image Analysis Using a Tabletop Low Voltage TEM - Volume 23 Issue S1 - Gustaf Kylberg, Ida-Maria Sintorn, Martin Ryner, Mathieu Colomb-Delsuc
Article
Full-text available
In this paper, rotation invariance and the influence of rotation interpolation methods on texture recognition using several local binary patterns (LBP) variants are investigated. We show that the choice of interpolation method when rotating textures greatly influences the recognition capability. Lanczos 3 and B-spline interpolation are comparable t...
Conference Paper
Full-text available
A very simple but efficient feature descriptor is proposed for image matching/registration applications where invariance is not important. The descriptor length is only three times the height of the local region in which the descriptor is calculated, and experiments were conducted to compare it to the SURF descriptor. In addition, it is shown, how...
Conference Paper
To detect and identify viruses in electron microscopy images is crucial in certain clinical emergency situations. It is currently a highly manual task, requiring an expert sitting at the microscope to perform the analysis visually. Here we focus on and investigate one aspect towards automating the virus diagnostic task, namely recognizing the virus...
Thesis
Full-text available
Viruses and their morphology have been detected and studied with electron microscopy (EM) since the end of the 1930s. The technique has been vital for the discovery of new viruses and in establishing the virus taxonomy. Today, electron microscopy is an important technique in clinical diagnostics. It both serves as a routine diagnostic technique as...
Article
Full-text available
Local binary pattern (LBP) operators have become commonly used texture descriptors in recent years. Several new LBP-based descriptors have been proposed, of which some aim at improving robustness to noise. To do this, the thresholding and encoding schemes used in the descriptors are modified. In this article, the robustness to noise for the eight f...
Article
In this paper, we present an automatic segmentation method that detects virus particles of various shapes in transmission electron microscopy images. The method is based on a statistical analysis of local neighbourhoods of all the pixels in the image followed by an object width discrimination and finally, for elongated objects, a border refinement...
Conference Paper
Full-text available
Zernike moments are commonly used in pattern recognition but are not suited for texture analysis. In this paper we introduce regional Zernike moments (RZM) where we combine the Zernike moments for the pixels in a region to create a measure suitable for texture analysis. We compare our proposed measures to texture measures based on Gabor filters, Ha...
Conference Paper
Full-text available
We investigate the discriminant power of two local and two global texture measures on virus images. The viruses are imaged using negative stain transmission electron microscopy. Local binary patterns and a multi scale extension are compared to radial density profiles in the spatial domain and in the Fourier domain. To assess the discriminant potent...
Conference Paper
We present a general method using local intensity information and PCA to detect objects characterized only by that they differ from their surroundings. We apply our method to the problem of automatically detecting virus particle candidates in transmission electron microscopy images. Viruses have very different shapes and sizes, many species are sph...
Conference Paper
Full-text available
When searching for viruses in an electron microscope the sample grid constitutes an enormous search area. Here, we present methods for automating the image acquisition process for an automatic virus diagnostic application. The methods constitute a multi resolution approach where we first identify the grid squares and rate individual grid squares ba...

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Projects

Project (1)
Project
We are finalizing the first commercial version of the MiniTEM system. It is a low voltage transmission electron microscope with a software integrated support for automated alignment and control of the microscope as well as automated image acquisition with inline image processing. As the product owner of the software I'm very excited for the spring launch!