Title
MIST: Microscopy Image Stitching Tool
Abstract
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
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 Chalfoun1287.49
Michael Majurski2182.96
Timothy Blattner372.62
Walid Keyrouz473.63
Peter Bajcsy513825.50
Mary Brady63910.10