Modern quantitative image analysis techniques have enabled high-throughput, high-content
imaging experiments. Image-based profiling leverages the rich information in images to …

High-content image-based assays have fueled significant discoveries in the life sciences in
the past decade (2013–2023), including novel insights into disease etiology, mechanism of …

Drug-induced liver injury (DILI) is a significant concern in drug development, often leading to
drug withdrawal. Although many studies aim to identify biomarkers and gene/pathway …

In the paper a method supporting the optical character recognition from video sequences
recorded with cameras without good stabilization is proposed. Due to the presence of …

Biopharma drug discovery requires a set of approaches to find, produce, and test the safety
of drugs for clinical application. A crucial part involves image-based screening of cell culture …

Deep Neural Networks (DNNs) have shown remarkable success in various computer vision
tasks. However, their black-box nature often leads to difficulty in interpreting their decisions …

Complex mixtures containing natural products are still an interesting source of novel drug
candidates. High content screening (HCS) is a popular tool to screen for such. In particular …

High-content image-based assays have fueled significant discoveries in the life sciences in
the past decade, including novel insights into disease etiology, mechanism of action, new …

The advent of large-scale biological count data from high-throughput technologies has
made the development of suitable statistical techniques a cornerstone of modern …

With the development of image processing and artificial intelligence technology, image key
information extraction algorithm has become an indispensable tool and technology in many …