Imaging is an essential component of scientific and medical research. Whether it is a simple image of a histological tissue section or a complex multicolour 3D microscopy model, taking the image is only the first step.
The last decade has seen a rapid increase in both the number of, and ease of access to, image analysis tools. Complex image analysis is no longer the sole realm of specialists. Many open-source analysis tools are available to all to help with extracting as much data as possible form even the simplest image. Extraction of individual cells, or cellular components, using artificial intelligence (machine learning, deep learning etc.) can add enormous power to any research project.
This talk will showcase a range of image analysis examples from simple tissue type extraction to complex multi-parameter analysis all carried out with easily accessible open-source tools