Sökning: "image cytometry"

Visar resultat 1 - 5 av 62 avhandlingar innehållade orden image cytometry.

1. 1. Image Analysis in Support of Computer-Assisted Cervical Cancer Screening

   Författare :Patrik Malm; Ewert Bengtsson; Calum MacAulay; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Image analysis; cervical cancer; pap-smear; synthetic images; screening; image processing; cytometry; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : Cervical cancer is a disease that annually claims the lives of over a quarter of a million women. A substantial number of these deaths could be prevented if population wide cancer screening, based on the Papanicolaou test, were globally available. The Papanicolaou test involves a visual review of cellular material obtained from the uterine cervix. LÄS MER

3. 2. Development of Algorithms for Digital Image Cytometry

   Författare :Joakim Lindblad; Calum MacAulay; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bildanalys; Bildanalys; Image analysis; Bildanalys; Datoriserad bildanalys; Computerized Image Analysis;

   Sammanfattning : This thesis presents work in digital image cytometry applied to fluorescence microscope images of cultivated cells. Focus has been on the development and compilation of robust image analysis tools, enabling quantitative measurements of various properties of cells and cell structures. LÄS MER

4. 3. Algorithms for Applied Digital Image Cytometry

   Författare :Carolina Wählby; Ewert Bengtsson; Stephen Lockett; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bildanalys; Bildanalys; Image analysis; Bildanalys;

   Sammanfattning : Image analysis can provide genetic as well as protein level information from fluorescence stained fixed or living cells without loosing tissue morphology. Analysis of spatial, spectral, and temporal distribution of fluorescence can reveal important information on the single cell level. LÄS MER

5. 4. Methods and models for 2D and 3D image analysis in microscopy, in particular for the study of muscle cells

   Författare :Patrick Karlsson Edlund; Ewert Bengtsson; Joakim Lindblad; Carolina Wählby; Fritz Albregtsen; Uppsala universitet; []
   Nyckelord :medical image analysis; image segmentation; fluorescence microscopy; cytometry; human skeletal muscle;

   Sammanfattning : Many research questions in biological research lead to numerous microscope images that need to be evaluated. Here digital image cytometry, i.e., quantitative, automated or semi-automated analysis of the images is an important rapidly growing discipline. LÄS MER

7. 5. Deep learning approaches for image cytometry: assessing cellular morphological responses to drug perturbations

   Författare :Philip John Harrison; Ola Spjuth; Carolina Wählby; Andreas Hellander; Peter Horvath; Uppsala universitet; []
   Nyckelord :Deep Learning; Microscopy; Image Analysis; Farmaceutisk vetenskap; Pharmaceutical Science;

   Sammanfattning : Image cytometry is the analysis of cell properties from microscopy image data and is used ubiquitously in basic cell biology, medical diagnosis and drug development. In recent years deep learning has shown impressive results for many image cytometry tasks, including image processing, segmentation, classification and detection. LÄS MER