Computer vision systems for extracting measurements, structures, objects, or patterns from scientific images and video.
Methods can include segmentation, object detection, classification, tracking, image enhancement, and quantitative image analysis.
Applications include microscopy, laboratory imaging, scientific experiments, specimen analysis, and instrument data.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.