Sökning: "Ida-Maria Sintorn"

Hittade 5 avhandlingar innehållade orden Ida-Maria Sintorn.

  1. 1. Methods for 2D and 3D Quantitative Microscopy of Biological Samples

    Författare :Amin Allalou; Carolina Wählby; Ida-Maria Sintorn; Ewert Bengtsson; Jens Rittscher; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image analysis; cytmetry; model organism; zebrafish; screening; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : New microscopy techniques are continuously developed, resulting in more rapid acquisition of large amounts of data. Manual analysis of such data is extremely time-consuming and many features are difficult to quantify without the aid of a computer. LÄS MER

  2. 2. Automatic Virus Identification using TEM : Image Segmentation and Texture Analysis

    Författare :Gustaf Kylberg; Ida-Maria Sintorn; Gunilla Borgefors; Walter Kropatsch; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; image analysis; image processing; virus identification; transmission electron microscopy; texture analysis; texture descriptors; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : 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. LÄS MER

  3. 3. Image and Data Analysis for Biomedical Quantitative Microscopy

    Författare :Damian J. Matuszewski; Ida-Maria Sintorn; Carolina Wählby; Peter Horvath; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; high-content screening; drug selection; DNA content histogram; manual image annotation; deep learning; convolutional neural networks; hardware integration; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : This thesis presents automatic image and data analysis methods to facilitate and improve microscopy-based research and diagnosis. New technologies and computational tools are necessary for handling the ever-growing amounts of data produced in life science. LÄS MER

  4. 4. Interactive 3D Image Analysis for Cranio-Maxillofacial Surgery Planning and Orthopedic Applications

    Författare :Johan Nysjö; Ingela Nyström; Filip Malmberg; Ida-Maria Sintorn; Jayaram K. Udupa; Uppsala universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; medical image analysis; interactive segmentation; volume rendering; computed tomography; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Modern medical imaging devices are able to generate highly detailed three-dimensional (3D) images of the skeleton. Computerized image processing and analysis methods, combined with real-time volume visualization techniques, can greatly facilitate the interpretation of such images and are increasingly used in surgical planning to aid reconstruction of the skeleton after trauma or disease. LÄS MER

  5. 5. Methods for Processing and Analysis of Biomedical TEM Images

    Författare :Amit Suveer; Ida-Maria Sintorn; Carolina Wählby; Natasa Sladoje; Jari Hyttinen; Uppsala universitet; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; image analysis; image processing; deep learning; transmission electron microscopy; denoising; super-resolution reconstruction; registration; detection; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Transmission Electron Microscopy (TEM) has the high resolving capability and high clinical significance; however, the current manual diagnostic procedure using TEM is complicated and time-consuming, requiring rarely available expertise for analyzing TEM images of the biological specimen. This thesis addresses the bottlenecks of TEM-based analysis by proposing image analysis methods to automate and improve critical time-consuming steps of currently manual diagnostic procedures. LÄS MER