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Image Search Results
Journal: Cell Reports Medicine
Article Title: C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine
doi: 10.1016/j.xcrm.2021.100436
Figure Lengend Snippet: Preprocessing and data analysis with cmoRe (A) Overview of cmoRe package functionality. (a) Preprocessing comprises data loading, QC, filtering steps, and addition of secondary features. Data analysis can be done at the single-cell level or bulk population level. (b) An exemplary QC plot for a 96-well plate regarding the number of cells per well. (c) A representative cell cycle plot as used for cell cycle-based filtering of apoptotic cells and to assign cell cycle status as a secondary feature to each cell. Vertical lines indicate determined cutoffs; dashed lines limit high-certainty regions of cutoffs. (B) This boxplot shows the z-transformed cell area for NRCMs incubated with three concentrations of PE in comparison with the control (ctrl). The red line depicts a fitted linear mixed model assuming equidistance between ctrl/dose-levels, as applied in our analyses. The box center shows the median value, and the box limits show the 25th and 75th percentiles. (C) Hierarchical cluster analysis of selected features (ward.D2) for meta-feature construction. Each cluster corresponds to a meta-feature (color coded). (D) The PE phenotype. Radar plots show meta-feature values for PE (colored) against meta-feature values of an unstimulated control (gray) ordered in a circle. For PE, three concentrations are shown (red, low; yellow, intermediate; green, high; control, gray). (E) Numbers of retained features after each selection step for the canonical hypertrophic stimuli: norepinephrine (NE), adrenaline (A), isoproterenol (ISO), endothelin (ET), and angiotensin (AT); Data of 5 independent cell preparations are shown.
Article Snippet:
Techniques: Transformation Assay, Incubation, Comparison, Control, Selection
Journal: Cell Reports Medicine
Article Title: C-MORE: A high-content single-cell morphology recognition methodology for liquid biopsies toward personalized cardiovascular medicine
doi: 10.1016/j.xcrm.2021.100436
Figure Lengend Snippet:
Article Snippet:
Techniques: Virus, Clinical Proteomics, Recombinant, Electron Microscopy, Software, Imaging