Cell Counting (Cellular Biology)
In many instances, cell counting is very straight forward and is an easily accomplished task when the cells are well labeled.
In other cases, cells may have a wide range of intensities making it difficult to properly segment cells or other fluorescently labeled markers. Instead of spending time developing sophisticated image processing protocols, we use machine learning based Smart Segmentation to quickly and accurately define and measure the cells.
The analysis of Scratch Assays are supported directly within Image-Pro by using the included Wound Healing App to measure time-lapse data.
Follow the simple step by step workflow, time-lapse data for a single well or multiple wells may be efficiently analyzed and reported. Images with the scratch overlay may also be saved for documentation of the analysis.
Cells, nematodes, or water fleas movements can easily be tracked and displayed using Motion Tracking. Due multiple possible directions, velocity and acceleration of the cells or organisms motion tracking experiment may be difficult to analyze.
Using the built in Learning Wizard, the image analysis tracking parameters can be quickly determined taking the guess work out to the experimental set up.
Image-Pro 3D Colocalization provides a full suite of analytical parameters and coefficients to measure colocalization. When required, a Volume of Interest (VOI) can be used to restrict the area where the colocalization will be measured within the volume. Colocalization analysis on a per cell basis may also be measured if the correctly markers are includes as one of the fluorescent channels.