Background Because of its non-destructive nature, label-free imaging is an important
strategy for studying biological processes. However, routine microscopic techniques like …

Label-free, live cell recognition (ie instance segmentation) and tracking using computer
vision-aided recognition can be a powerful tool that rapidly generates multi-modal readouts …

Epithelial tissues (epithelia) remove excess cells through extrusion, preventing the
accumulation of unnecessary or pathological cells. The extrusion process can be triggered …

Stain-free, single-cell segmentation and tracking is tantamount to the holy grail of
microscopic cell migration analysis. Phase contrast microscopy (PCM) images with cells at …

Image segmentation has been increasingly used to identify the particle size distribution of
crushed ore; however, the adhesion of ore particles and dark areas in the images of blast …

Increases in the number of cell therapies in the preclinical and clinical phases have
prompted the need for reliable and noninvasive assays to validate transplant function in …

Shear detection and mechanotransduction by arterial endothelium requires junctional
complexes containing PECAM‐1 and VE‐cadherin, as well as firm anchorage to the …

Cell instance segmentation is important in biomedical research. For living cell analysis,
microscopy images are captured under various conditions (eg, the type of microscopy and …

Single cell segmentation is a critical and challenging step in cell imaging analysis.
Traditional processing methods require time and labor to manually fine-tune parameters and …

Cell detection is an important task in biomedical research. Recently, deep learning methods
have made it possible to improve the performance of cell detection. However, a detection …