Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life. This task is called "segmentation" and it enables a range of applications, ...

Cell growth and division are two of the most fundamental and essential features of life, and closely monitoring cell changes over time can give scientists key insights into dynamics of these ...

Machine learning is supposed to help us do everything these days, so why not electron microscopy? A team from Ireland has done just that and published their results using machine learning to enhance ...

Identifying and delineating cell structures in microscopy images is crucial for understanding the complex processes of life.

Microscopic glands of the prostate are segmented (colored) with the new deep-learning pipeline; the image shows a prostate cancer tissue volume, measuring roughly 1 x 1 x 2 mm in size. The prostate ...

The Korea Research Institute of Standards and Science (KRISS) has developed an artificial intelligence (AI)-based image segmentation algorithm that can rapidly reconstruct three-dimensional (3D) ...

Advances in imaging and machine learning In their previous work, Hong's team, under the joint leadership of Prof. Limei Xu and Prof. Ying Jiang at Peking University, made significant strides toward a ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of living cells at single-cell resolution. (Nanowerk Spotlight) Cells are not ...

Prostate cancer remains a prevalent threat to men’s health, ranking second in cancer-related deaths in the United States. Each year, approximately 250,000 men in the U.S. receive a prostate cancer ...