Essays about: "cell clustering"

Showing result 21 - 25 of 42 essays containing the words cell clustering.

  1. 21. Effect of PIP2 on vesicles release in neural cells

    University essay from Högskolan i Skövde/Institutionen för hälsovetenskaper

    Author : Jonathan Wahlund; [2021]
    Keywords : ;

    Abstract : Lipids serve numerous different processes in biological cell communication. As for the case ofPhosphatidylinositol‐(4,5)‐biphosphate (PIP2), which serves actin‐dynamics, endocytosis, and ofrecent importance, exocytosis. READ MORE

  3. 22. Deep morphological quantification and clustering of brain cancer cells using phase-contrast imaging

    University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Jonas Engberg; [2021]
    Keywords : Glioblastoma; UMAP; Heterogeneity; Clustering; Convolutional neural network; Siamese neural network;

    Abstract : Glioblastoma Multiforme (GBM) is a very aggressive brain tumour. Previous studies have suggested that the morphological distribution of single GBM cells may hold information about the severity. This study aims to find if there is a potential for automated morphological qualification and clustering of GBM cells and what it shows. READ MORE

  4. 23. IL13R⍺2-CAR T cells for Immunotherapy of Glioblastoma

    University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

    Author : Xu Zhu; [2021]
    Keywords : ;

    Abstract : Glioblastoma is the most malignant form of gliomas and is a highly infiltrative while non-metastatic tumor of the central nervous system. Patients with glioblastoma have a poor prognosis of 15 months median survival after diagnosis. READ MORE

  5. 24. Analysis of single cell RNA seq data to identify markers for subtyping of non-small cell lung cancer

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Veena K. Reddy; [2020]
    Keywords : ;

    Abstract : Single cell RNA technology is a recent technical advancement used to understand the cancertumorgenicity at single cell resolution. In this study we have analyzed the scRNA data from thenon-small cell lung cancer (NSCLC) dataset to facilitate the early identification of NSCLCsubtypes namely, squamous cell carcinoma (SCC) and adenocarcinoma (AC). READ MORE

  6. 25. Simultaneous Classification of Sets of Images Using Deep Learning and Clustering

    University essay from Lunds universitet/Matematik LTH

    Author : Nellie Carleke; Hugo Sellerberg; [2020]
    Keywords : Mathematics and Statistics;

    Abstract : Classification of cell images is conventionally done manually in hematology laboratories by medical technologists. CellaVision aims to automate this work in order to make the analysis process faster, better and more flexible. READ MORE