Convolutional neural networks (ConvNets) have proven to be successful in both the
classification and semantic segmentation of cell images. Here we establish a method for cell …

Quantitative microscopy has been extensively used in biomedical research and has
provided significant insights into structure and dynamics at the cell and tissue level. The …

Technological advances in computing, imaging, and genomics have created new
opportunities for exploring relationships between histology, molecular events, and clinical …

Highlights•Image-based profiling uses hundreds of measurements of cell morphology from
images.•Samples with similar phenotypes are grouped based on this unbiased, quantitative …

CellProfiler Analyst allows the exploration and visualization of image-based data, together
with the classification of complex biological phenotypes, via an interactive user interface …

The increasing prevalence of automated image acquisition systems is enabling new types of
microscopy experiments that generate large image datasets. However, there is a perceived …

Image-based experiments can yield many thousands of individual measurements describing
each object of interest, such as cells in microscopy screens. CellProfiler Analyst is a free …

Biologists can now prepare and image thousands of samples per day using automation,
enabling chemical screens and functional genomics (for example, using RNA interference) …

Technological advances in automated microscopy now allow rapid acquisition of many
images without human intervention, images that can be used for large-scale screens. The …

Background Automated classification using machine learning often relies on features
derived from segmenting individual objects, which can be difficult to automate. WND …