Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …

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 …

The advent of intelligent image-activated cell sorting (iIACS) has enabled high-throughput
intelligent image-based sorting of single live cells from heterogeneous populations. iIACS is …

Volumetric interrogation of the organization and processes of intracellular organelles and
molecules in cellular systems with a high spatiotemporal resolution is essential for …

Intelligent image-activated cell sorting (iIACS) is a machine-intelligence technology that
performs real-time intelligent image-based sorting of single cells with high throughput. iIACS …

In modern digital microscopy, deconvolution methods are widely used to eliminate a number
of image defects and increase resolution. In this review, we have divided these methods into …

Cell imaging technology is undoubtedly a powerful tool for studying single-cell
heterogeneity due to its non-invasive and visual advantages. It covers microscope …

Integrating single cell omics and single cell imaging allows for a more effective
characterisation of the underlying mechanisms that drive a phenotype at the tissue level …

Recent years have witnessed the emergence of innovative analytical methods with high
sensitivity and spatiotemporal resolution that allowed qualitative and quantitative analysis to …

Fluorescence imaging flow cytometry (IFC) has been demonstrated as a crucial biomedical
technique for analyzing specific cell subpopulations from heterogeneous cellular …