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 …

Decades of nanotoxicology research have generated extensive and diverse data sets.
However, data is not equal to information. The question is how to extract critical information …

Background Rapid diagnosing is crucial for controlling malaria. Various studies have aimed
at develo** machine learning models to diagnose malaria using blood smear images; …

Fueled by recent advances in single cell biology, we are moving away from qualitative and
undersampled assessments of cell identity, toward building quantitative, high-resolution cell …

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

The amount of data collected and managed in (bio) medicine is ever-increasing. Thus, there
is a need to rapidly and efficiently collect, analyze, and characterize all this information …

The cellular morphology and sub-cellular spatial structure critically influence the function of
microbial cells. Similarly, the spatial arrangement of genotypes and phenotypes in microbial …

Highlights•Complex phenotypic imaging assays aim at mimicking the biology of
interest.•Cellular profiling in high-content assays improve description of compound …

High-content screening (HCS) technology combining automated microscopy and
quantitative image analysis can address biological questions in academia and the …

Measuring single cell responses to the universe of chemicals (drugs, natural products,
environmental toxicants etc.) is of paramount importance to human health as phenotypic …