Traditionally, cell analysis has focused on using molecular biomarkers for basic research,
cell preparation, and clinical diagnostics; however, new microtechnologies are enabling …

Within the last decades, conventional flow cytometry (FC) has evolved as a powerful
measurement method in clinical diagnostics, biology, life sciences and healthcare. Imaging …

Data clustering is a fundamental challenge in data analytics. It is the main task in exploratory
data mining and a core technique in machine learning. As the volume, variety, velocity, and …

Imaging flow cytometry and high speed microscopy have shown immense promise for
clinical diagnostics, biological research, and drug discovery. They enable high throughput …

High-level synthesis (HLS) and register transfer level (RTL) are two popular methods to
design FPGAs. Both of methods have advantages and disadvantages: HLS provides ease of …

Creating efficient, accurate approaches to cytometry is an important problem for clinical
diagnostics, biological research, and drug discovery. Cytometry identifies cell types or cell …

Recent advances in imaging technologies have eased the collection of microscopic images,
but efficient image analysis of this data remains a challenge. In the field of imaging flow …

Many emerging applications require hardware acceleration due to their growing
computational intensities. These accelerated designs use heterogeneous hardware, such as …