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In many image analysis application, the locations of the objects are most important. By "locations" we mean the centroid of each object in the image. The data comes from Pixcavator's output table.
Examples:
- Sub-pixel accuracy for distance measurement
- Character recognition
- Image analysis for a hand-held diagnostic device
- Mosaic making
- Microarray analysis
- High throughput screening
- Micropallet arrays
- Counting chocolates in a box
- Membranes containing proteins
- Bubble sheets
Learn how to use Pixcavator!
