2009
DOI: 10.1093/bioinformatics/btp184
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Globally optimal stitching of tiled 3D microscopic image acquisitions

Abstract: Motivation: Modern anatomical and developmental studies often require high-resolution imaging of large specimens in three dimensions (3D). Confocal microscopy produces high-resolution 3D images, but is limited by a relatively small field of view compared with the size of large biological specimens. Therefore, motorized stages that move the sample are used to create a tiled scan of the whole specimen. The physical coordinates provided by the microscope stage are not precise enough to allow direct reconstruction… Show more

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Cited by 2,099 publications
(1,676 citation statements)
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“…Following acquisition, a FIJI plugin 22 was used to stitch the images together based on OME-XML metadata. 23,24 Two-photon excited fluorescence images were also acquired without filtering in selected regions of interest.…”
Section: Multiphoton Microscopymentioning
confidence: 99%
“…Following acquisition, a FIJI plugin 22 was used to stitch the images together based on OME-XML metadata. 23,24 Two-photon excited fluorescence images were also acquired without filtering in selected regions of interest.…”
Section: Multiphoton Microscopymentioning
confidence: 99%
“…To obtain image sequences in which single cells could be tracked over the length of the experiments the imaging data were restructured using Fiji image processing software. 28,29 All raw images for each channel (Hoechst, YFP or PI) were opened as image sequence and brightness and contrast were adjusted. The nine adjacent fields of views (512 × 512 pixel) which were imaged with a 13% overlap at each time point were combined together into a 1432 × 1432 pixel image using the 'Stitch Sequence of Grids of Images' plugin.…”
mentioning
confidence: 99%
“…The nine adjacent fields of views (512 × 512 pixel) which were imaged with a 13% overlap at each time point were combined together into a 1432 × 1432 pixel image using the 'Stitch Sequence of Grids of Images' plugin. 28,29 CellProfiler 2.0 image analysis software 30 was used to analyse mean YFP intensity and percentage of PI positive cells of the whole cell population in these image sequences (see below). For single cell traces, cells were randomly chosen and tracked manually starting at the latest frame by defining a region of interest around the object, which was adjusted for each frame to accommodate cell movement.…”
mentioning
confidence: 99%
“…As mentioned above, the injections were imaged with a confocal fluorescent microscope under a protected atmosphere (22 °C, > 85% humidity) to prevent drying of the samples. Finally, the image tiles were reconstructed using an open-source plugin [32].…”
Section: Lift For Direct Three-dimensional Liquid Deliverymentioning
confidence: 99%