Myrsini Katsikatsou, Irini Moustaki, Haziq Jamil
Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random
The British journal of mathematical and statistical psychology
dysfunction cells pancreatic islets lead diabetes many questions remain subcellular organization islet cells progression disease existing threedimensional cellular mapping approaches face challenges timeintensive sample sectioning subjective cellular identification address challenges developed subcellular featurebased classification approach allows us identify cells quantify subcellular structural characteristics using soft xray tomography sxt observed significant differences wholecell morphological organelle statistics two cell types additionally characterize subtle biophysical differences individual insulin glucagon vesicles analyzing vesicle size molecular density distributions previously possible using methods subvesicular parameters enable us predict cell types systematically using supervised machine learning also visualize distinct vesicle cell subtypes using uniform manifold approximation projection umap embeddings provides us innovative approach explore structural heterogeneity islet cells methodology presents innovative approach tracking biologically meaningful heterogeneity cells applied cellular system