Leucopoietic and erythropoietic alterations were evaluated by differential counting of 500 cells with reference to the cellular classifications of Penny [18] and Jain [19].
We have developed a novel approach that combines in vitro live cell labeling, optical microscopy, image processing, high throughput single cell mass spectrometry, and multivariate statistical analysis, to enable cellular classification via multiplexed analysis of cell peptide content.
Moreover, the cellular compartment classification of these proteins revealed that the most populous categories were actin cytoskeleton, cytoskeleton and intracellular, consistent with the aforementioned biological processes and molecular functions.
The importance of the protein synthetic machinery and its re-establishment following rehydration is also highlighted by the preponderance of clusters associated with the Ribosomal subcategory of the Cellular Component Classification; 40% of the Cytoplasm category (23% overall).
The objective of this research is to carry out the classification of cellular nuclei in cytological pleural fluid images.
Here the differences in the patterns observed for normal and cancerous cells allow one to perform a classification of cellular subtypes.
Physical classification of cellular compartments has led us developing analytical expressions on both biologically observed diffusion mechanisms and the diffusions's occasional stochasticity causing energetics.
These mixture types represent extreme cases in the classification of cellular instability with highly diluted H2 O2 Ar mixtures having very regular instability structures and H2 N2O having very irregular instability structures.
Yet, to this day, there are only a few studies that focus on the automated classification of cellular automata on the basis of the space-time diagrams they evolve.
The first systematic classification of cellular oscillatory behaviors gathered about 450 different kinds of biochemical rhythms [35], most of them corresponding to periodic oscillations [33], [36].
