Sökning: "Carolina Wählby"

Visar resultat 16 - 20 av 22 avhandlingar innehållade orden Carolina Wählby.

1. 16. Digital Image Analysis of Cells : Applications in 2D, 3D and Time

   Författare :Amalka Pinidiyaarachchi; Carolina Wählby; Ewert Bengtsson; Arvid Lundervold; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Digital image analysis; microscopy; fluorescent staining; watershed segmentation; sub-cellular localization; point-like signals; wavelets; cell confluence; cytology; color spaces.; Image analysis; Bildanalys;

   Sammanfattning : Light microscopes are essential research tools in biology and medicine. Cell and tissue staining methods have improved immensely over the years and microscopes are now equipped with digital image acquisition capabilities. The image data produced require development of specialized analysis methods. LÄS MER

3. 17. Deep Neural Networks and Image Analysis for Quantitative Microscopy

   Författare :Sajith Kecheril Sadanandan; Carolina Wählby; Petter Ranefall; Ewert Bengtsson; Jeroen van der Laak; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep neural networks; convolutional neural networks; image analysis; quantitative microscopy; bright-field microscopy; Datoriserad bildbehandling; Computerized Image Processing;

   Sammanfattning : Understanding biology paves the way for discovering drugs targeting deadly diseases like cancer, and microscopy imaging is one of the most informative ways to study biology. However, analysis of large numbers of samples is often required to draw statistically verifiable conclusions. LÄS MER

4. 18. Image Processing, Machine Learning and Visualization for Tissue Analysis

   Författare :Leslie Solorzano; Carolina Wählby; Alexandru Cristian Telea; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image processing; data analysis; machine learning; visualization; microscopy; Bioinformatics; Bioinformatik;

   Sammanfattning : Knowledge discovery for understanding mechanisms of disease requires the integration of multiple sources of data collected at various magnifications and by different imaging techniques. Using spatial information, we can build maps of tissue and cells in which it is possible to extract, e.g. LÄS MER

5. 19. Towards subcellular localization of the human proteome using bioimaging

   Författare :Charlotte Stadler; Emma Lundberg; Carolina Wählby; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Antibody; antibody validation; automated image analysis; automated microscopy; cell line; confocal microscopy; fixation; green fluorescent protein GFP ; immunofluorescence IF ; organelle; protein expression; siRNA; subcellular localization;

   Sammanfattning : Since the publication of the complete sequence of the human genome in 2003 there has been great interest in exploring the functions of the proteins encoded by the genes. To reveal the function of each and every protein, investigation of protein localization at the subcellular level has become a central focus in this research area, since the localization and function of a protein is closely related. LÄS MER

7. 20. Methods for Processing and Analysis of Biomedical TEM Images

   Författare :Amit Suveer; Ida-Maria Sintorn; Carolina Wählby; Natasa Sladoje; Jari Hyttinen; Uppsala universitet; []
   Nyckelord :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