Sökning: "manual microscopy"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden manual microscopy.

  1. 1. Machine learning-assisted image analysis and metabarcoding for monitoring of plankton in the seas surrounding Sweden

    Master-uppsats, KTH/Industriell bioteknologi

    Författare :Karin Garefelt; [2023]
    Nyckelord :Imaging FlowCytobot; imaging-in-flow cytometry; plankton imaging; convolutional neural network; metabarcoding; Imaging FlowCytobot; flödesmikroskopi; övervakning av plankton; konvolutionella neuronnät; DNA-streckkodning;

    Sammanfattning : I miljöövervakningen av haven runt Sverige har manuell mikroskopi av plankton länge varit den huvudsakliga tekniken för att övervaka växtplanktonbestånden och algblomningar. Nya tekniker utvärderas, men det är inte känt hur resultaten från de nyare teknikerna relaterar till varandra. LÄS MER

  3. 2. Quantification of DNA Nanoballs Using Image Processing Techniques

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Sara Lindberg; [2023]
    Nyckelord :image analysis; fluorescence microscopy; quantification; DNA; rolling circle amplification; machine learning; deep learning; transfer learning; neural networks;

    Sammanfattning : In gene editing, it is important to identify the number of edited and unedited nucleic acids in the development of new therapies and drugs. Countagen is developing a technology for accelerating genomic research and their product is called GeneAbacus. LÄS MER

  4. 3. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Fredrik Salomon-Sörensen; [2023]
    Nyckelord :Deep Learning; Cell Identification; Image Segmentation; Nuclei Segmentation; Convolutional Neural Networks; UNet; Image Analysis; Microscopy; Noisy Labels; Phase-Contrast; Automatic Labeling; Technology and Engineering;

    Sammanfattning : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. LÄS MER

  5. 4. Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Joel Wulff; [2022]
    Nyckelord :Deep learning; virtual staining; blood; cells; GANs; Generative adversarial networks; CNNs; convolutional neural networks; ESRGAN; Unet; digital microscopy; Mathematics and Statistics;

    Sammanfattning : Blood tests are an important part of modern medicine, and are essentially always stained using chemical colorization methods before analysis by computational or manual methods. The staining process allows different parts of blood cells to be discerned that would be unnoticeable in unstained blood. LÄS MER

  7. 5. Study of Automated Step Detection Methods and Dwell Time Analysis of Single-Molecule Data : Case of Study: The Turnover of Single Fluorescent ATP on The Active Site of Myosin

    Master-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Författare :Lathifa Nur Ramdhania; [2022]
    Nyckelord :Single-molecule; step detection; dwell time analysis;

    Sammanfattning : Single-molecule methods were developed with the objective to obtain kinetic information of biomolecular processes from a single biomolecule. This objective can be achieved by analyzing the binding events in recordings (“trajectories”) of single molecules (e.g., using fluorescence); the so-called dwell times. LÄS MER