High-Content Analysis (HCA) has played a significant role in infectious disease research and drug discovery to date and can be a strong tool in the age of COVID-19 and beyond.
Tracking cells or subcellular particles in microscopic data can be challenging. The Tracking Module allows analysis of the movement of small or large objects over time in both 2D or 3D multichannel image sets of any size.
Finding cell boundaries based on membrane-localized contrast is made many times easier by new algorithms that enhance membranes in 3D and an operator designed to segment cells in 3D.
The new Chart in Object Table allows users to graph one or two features from either all or selected objects in the table.
The segment tracker operator used for connecting moving objects in time, that is finding relationship of objects during a time course.
The Blob Finder analysis operator is ideal for segmenting cells or any other type of rounded cell organelles in a noisy image in an easy-to-use 3-step process.
