The diagnosis of leukemia involves the detection of the abnormal characteristics of blood
cells by a trained pathologist. Currently, this is done manually by observing the …

An important factor that affects the performance and durability of asphalt–aggregate mixtures
is the size distribution of the aggregate particles. However, there are no accurate and quick …

We present an automated and deep-learning-based workflow to quantitatively analyze the
spatiotemporal development of mammary epithelial organoids in two-dimensional time …

Live-cell fluorescence image segmentation is an essential step in many studies, including in
drug research and other contexts where kee** cells alive is crucial. Several segmentation …

Evaluating cell viability plays an important role in routine cell culture, toxicology, and drug
development. Trypan blue stain is one of the simplest assays that are used to determine the …

Purpose The primary aim of this study was to develop an open-source Python-based
software for the automated analysis of dynamic cell behaviors in microphysiological models …

Understanding drug responses at the cellular level is essential for elucidating mechanisms
of action and advancing preclinical drug development. Traditional dose-response models …

Nowadays, the amount of heterogeneous biomedical data is increasing more and more
thanks to novel sensing techniques and high-throughput technologies. In reference to …

Due to the trade‐off between the field of view and resolution of various microscopes,
obtaining a wide‐view panoramic image through high‐resolution image tiles is frequently …

Extracting dynamic features of a cell plays important role in understanding cell response to
internal or external perturbations, which can be both a painful and imprecise task as one …