Abstract | ||
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Motivation: Automated microscopy enables scientists to image an area of an experimental sample that is much larger than the microscope's Field of View (FOV) and to carry out time-lapse studies of cell cultures. An automated microscope acquires these images by generating a grid of partially overlapping images. This process generates hundreds to hundreds of thousands of image tiles that need to be stitched into a wide image. We address the problem of creating image mosaics from a grid of overlapping tiles constrained to only translational offsets. The challenges of creating a large mosaic image are: (1) sensitivity to image features in the overlapping regions of adjacent tiles (e.g., during the early period of cell colony growth), (2) computational requirements needed to assemble the resulting mosaic image, and (3) absence of ground truth needed for evaluating the accuracy of a stitching method. |
Year | DOI | Venue |
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2015 | 10.1109/BIBM.2015.7359951 | IEEE International Conference on Bioinformatics and Biomedicine |
Field | DocType | ISSN |
Field of view,Computer vision,Image stitching,Feature detection (computer vision),Computer graphics (images),Feature (computer vision),Computer science,Image texture,Binary image,Image processing,Microscope,Artificial intelligence | Conference | 2156-1125 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Joe Chalfoun | 1 | 28 | 7.49 |
Michael Majurski | 2 | 18 | 2.96 |
Timothy Blattner | 3 | 7 | 2.62 |
Walid Keyrouz | 4 | 7 | 3.63 |
Peter Bajcsy | 5 | 138 | 25.50 |
Mary Brady | 6 | 39 | 10.10 |