Recent advances in computer vision and machine learning underpin a collection of
algorithms with an impressive ability to decipher the content of images. These deep learning …

Advanced microscopy enables us to acquire quantities of time-lapse images to visualize the
dynamic characteristics of tissues, cells or molecules. Microscopy images typically vary in …

Automatic cell segmentation and tracking enables to gain quantitative insights into the
processes driving cell migration. To investigate new data with minimal manual effort, cell …

In steel manufacturing industry, powdered iron ore is agglomerated in a pelletizing disk to
form iron ore green pellets. The agglomeration process is usually monitored using a camera …

Lineage tracing is a powerful tool in developmental biology to interrogate the evolution of
tissue formation, but the dense, three-dimensional nature of tissue limits the assembly of …

Automated in-vitro cell detection and counting have been a key theme for artificial and
intelligent biological analysis such as biopsy, drug analysis and decease diagnosis. Along …

Detecting and analyzing nanoscale motion patterns of vesicles, smaller than the microscope
resolution (250 nm), inside living biological cells is a challenging problem. State-of-the-art …

Mitosis cell counting from histopathology image is one of the important process as a part of
proliferative activity for cancer grading. It provides a level of progression and estimate the …

The effect is tested in various specific scenes of sports videos to complete the multitarget
motion multitarget tracking detection application applicable to various specific scenes within …

Cell tracking in microscopy images is fundamental to new biological and medical
discoveries today. It facilitates the study of the properties of living cells over time. Due to the …