RNA subcellular localization has recently emerged as a widespread phenomenon, which
may apply to the majority of RNAs. The two main sources of data for characterization of RNA …

Total-internal reflection fluorescence (TIRF) microscope is a unique technique for selective
excitation of only those fluorophore molecules in a cellular environment, which are located …

Identification of cell phenotypic states within heterogeneous populations, along with
elucidation of their switching dynamics, is a central challenge in modern biology …

Cancer is a life‐threatening process that stems from genetic mutations in cells, which leads
to the formation of tumors, and is a major cause of deaths in the United States, with …

Epithelial–mesenchymal transition (EMT) is an essential biological process, also implicated
in pathological settings such as cancer metastasis, in which epithelial cells transdifferentiate …

Phase contrast optical microscopy is a preferred imaging technique for live-cell, temporal
analysis. Segmentation of cells from time series data acquired with this technique is a labor …

The segmentation of cells is necessary for biologists in the morphological statistics for
quantitative and qualitative analysis in Phase-contrast Microscopy (PCM) images. In this …

Microvilli are exoplasmic protrusions of the T cell plasma membrane which are functionally
critical for T cell motility and have now also been implicated as determinants of signalling …

Classification of cells is an important field for biology and pathology research, and there
have been many effective models integrating it with machine learning techniques. In the …

This thesis described the study of investigation for machine learning-based classification
models for chronic liver diseases (focusing on two main histological patterns: liver fibrosis …