Sökning: "Carolina Wählby"

Visar resultat 6 - 10 av 22 avhandlingar innehållade orden Carolina Wählby.

1. 6. Adapting Deep Learning for Microscopy: Interaction, Application, and Validation

   Författare :Ankit Gupta; Carolina Wählby; Ida-Maria Sintorn; Ola Spjuth; Andreas Hellander; Philip Kollmannsberger; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep Learning; Microscopy; Human-in-the-Loop; Semi-Supervised Learning; Application-Specific Analysis; Image Classification; Image-to-Image Translation; Template Matching; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : Microscopy is an integral technique in biology to study the fundamental components of life visually. Digital microscopy and automation have enabled biologists to conduct faster and larger-scale experiments with a sharp increase in the data generated. LÄS MER

3. 7. 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

4. 8. Image Analysis and Deep Learning for Applications in Microscopy

   Författare :Omer Ishaq; Carolina Wählby; Bernd Rieger; Uppsala universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine learning; Deep learning; Image analysis; Quantitative microscopy; Bioimaging; Computerized Image Processing; Datoriserad bildbehandling;

   Sammanfattning : Quantitative microscopy deals with the extraction of quantitative measurements from samples observed under a microscope. Recent developments in microscopy systems, sample preparation and handling techniques have enabled high throughput biological experiments resulting in large amounts of image data, at biological scales ranging from subcellular structures such as fluorescently tagged nucleic acid sequences to whole organisms such as zebrafish embryos. LÄS MER

5. 9. 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. 10. Live Single Cell Imaging and Analysis Using Microfluidic Devices

   Författare :Mohammad Ali Khorshidi; Helene Andersson-Svahn; Håkan Jönsson; Carolina Wählby; Johan Elf; KTH; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Single cell analysis; time-lapse fluorescence imaging; automated image analysis; microwell; droplet microfluidics; NK cells; single cell tracking; migration behavior analysis; cell-cell interaction; optical microscopy; image analysis; image processing; microfluidics; immune cells; tracking; counting; morphology analysis;

   Sammanfattning : Today many cell biological techniques study large cell populations where an average estimate of individual cells’ behavior is observed. On the other hand, single cell analysis is required for studying functional heterogeneities between cells within populations. LÄS MER