Sökning: "cell structures"

Visar resultat 1 - 5 av 140 uppsatser innehållade orden cell structures.

  1. 1. Exploring the effects of pressure on the magnetic properties of quasi-low dimensional quantum magnets via thermodynamic measurements

    Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

    Författare :Emelie Zhu; [2024]
    Nyckelord :Physics and Astronomy; Technology and Engineering;

    Sammanfattning : Four model solid state compounds were used to experimentally investigate the effects of pressure on the interactions in one- and two-dimensional Heisenberg magnetic models. BaCuSi2O6, BaCu2V2O8, SrCuO2 and CuGeO3 were successfully synthesized via solid-state reactions and characterized via x-ray diffraction. LÄS MER

  3. 2. Virtual H&E Staining Using PLS Microscopy and Neural Networks

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Sally Vizins; Hanna Råhnängen; [2024]
    Nyckelord :Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

    Sammanfattning : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. LÄS MER

  4. 3. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Samuel Eriksson Lidbrink; [2023]
    Nyckelord :AlphaFold; AlphaFold2; SAXS; protein conformational ensembles; machine learning; protein conformations; reweighting; SAXS; AlphaFold; AlphaFold2; proteinkonformationsensembler; maskininlärning; proteinkonformationer; omviktning;

    Sammanfattning : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. LÄS MER

  5. 4. Simulation and Testing of a MU-MIMO Beamforming System

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

    Författare :Nazyar Mehdishishavan; Zonghan Wang; [2023]
    Nyckelord :Multi-User Multiple-Input Multiple-Output MU-MIMO ; Beamforming; Sounding Reference Signal SRS ; Reciprocity-based; Butler matrix; Advanced Antenna System AAS ; Technology and Engineering;

    Sammanfattning : Multi-User Multiple-Input Multiple-Output (MU-MIMO) technology has become increasingly important in the field of wireless communication due to its ability to highly increase the capacity and efficiency of wireless networks [1]. Beamforming, as a technique used in MU-MIMO systems, improves network performance by improving signal quality and reducing interference. LÄS MER

  7. 5. Intersecting Graph Representation Learning and Cell Profiling : A Novel Approach to Analyzing Complex Biomedical Data

    Master-uppsats, Uppsala universitet/Institutionen för farmaceutisk biovetenskap

    Författare :Nima Chamyani; [2023]
    Nyckelord :Graph representation learning; Cell profiling; Biological systems; Network medicine; Graphs; Machine learning techniques; Graph neural networks GNNs ; Protein-Compound-Pathway interactions; Biomarkers; Drug discovery;

    Sammanfattning : In recent biomedical research, graph representation learning and cell profiling techniques have emerged as transformative tools for analyzing high-dimensional biological data. The integration of these methods, as investigated in this study, has facilitated an enhanced understanding of complex biological systems, consequently improving drug discovery. LÄS MER