2015
DOI: 10.1002/mrd.22489
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The ImageJ ecosystem: An open platform for biomedical image analysis

Abstract: Technology in microscopy advances rapidly, enabling increasingly affordable, faster, and more precise quantitative biomedical imaging, which necessitates correspondingly more-advanced image processing and analysis techniques. A wide range of software is available – from commercial to academic, special-purpose to Swiss army knife, small to large–but a key characteristic of software that is suitable for scientific inquiry is its accessibility. Open-source software is ideal for scientific endeavors because it can… Show more

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Cited by 2,533 publications
(2,075 citation statements)
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References 35 publications
(32 reference statements)
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“…During the third week of flowering, one flower from the main raceme of each plant was selected when the petal laminae were perpendicular to the style and petals (mean: 2.0, Table S3) were carefully removed from the flower. The petals were affixed to transparency film with clear tape, scanned at 600 dpi, and the petal areas were calculated using imagej Version 1.44 (Schindelin et al ., 2015). …”
Section: Methodsmentioning
confidence: 99%
“…During the third week of flowering, one flower from the main raceme of each plant was selected when the petal laminae were perpendicular to the style and petals (mean: 2.0, Table S3) were carefully removed from the flower. The petals were affixed to transparency film with clear tape, scanned at 600 dpi, and the petal areas were calculated using imagej Version 1.44 (Schindelin et al ., 2015). …”
Section: Methodsmentioning
confidence: 99%
“…Individual images of 512 × 512 pixels were acquired within the constraints of the grid with a 10% overlap between images. 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%