In this paper, we review the integration of microfluidic chips and computer vision, which has
great potential to advance research in the life sciences and biology, particularly in the …

A microfluidic on-chip imaging cell sorter has several advantages over conventional cell
sorting methods, especially to identify cells with complex morphologies such as clusters …

Objective We examined whether androgen receptor splice variant 7 (AR‐V7) in circulating
tumor cell (CTC) clusters can be used to predict survival in patients with bone metastatic …

The field of biomedical diagnosis has become very important in the evolution of medicine,
and especially for the detection of cancer cells. In this paper, we will develop an algorithmic …

Adaptation of cell populations to environmental changes is mediated by phenotypic
variability at the single-cell level. Enzyme activity is a key factor in cell phenotype and the …

Recent advances in the recognition of biological samples using machine vision have made
this technology increasingly important in research and detection. Image segmentation is an …

The organization of structurally polarized microtubules into networks is critical for efficient
cargo transport mediated by the molecular motors dynein and kinesin. The motility …

In this paper we explore the possibility of using high-order cellular automata to perform edge
detection. Experiments are conducted to show how to find optimal values for the model …

Introduction: Employee engagement is an important indicator of performance in various
organizational positions and leads to increasing the motivation to stay in the organization …

IN the past decade, a number of efforts were taken to miniaturize fluorescence-activated cell
sorting (FACS), even attempting for “single-used” FACS. The motivations behind seem to be …