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Open access

Abby Pace, Bruce L. Dunn, and Charles Fontanier

. Photos were analyzed for brightness using ImageJ ( Schneider et al., 2012 ) version 1.53j; the mean brightness between 0 and 255 of the outlined phosphorescent flower was measured (Labno, n.d.). A photo of tonic water (Great Value; Walmart, Bentonville

Free access

Stephen Patrick Greer and Timothy A. Rinehart

View, CA) and ImageJ ( Abramoff et al., 2004 ) to count the total number of seeds on a plate and the number of seeds stained red. In short, images were first tuned in Picasa by turning highlights up to 100%, shadows up to 50%, and adjusting fill light

Open access

Manoj Chhetri and Charles Fontanier

per plot using a digital camera (Powershot G16; Canon, Melville, NY) mounted on the top of a standard light box. Images were then subjected to analysis with a free Java image-processing program [ImageJ, version 1.50b ( Rasband, 1997 )] to determine

Free access

Arthur Villordon and Jason Franklin

Shape measurements in horticultural research have generally been expressed as ratios or indexes. Computer-based image analysis enables the objective quantification and statistical analysis of two-dimensional sample shape variability. In addition, the availability of public domain software facilitates the inexpensive but accurate quantification of object shape in horticultural research. We describe the procedures for measuring sample shape using the following publicly available software: ImageJ, ImageTool, and SHAPE. Using U.S. #1 sweetpotato storage root samples from plots subjected to various weed control treatments, we detected significant differences in elongation, compactness, as well as shape attributes. We also measured size and shape variability from representative fruit, leaf, and floral organ samples. The results demonstrate that, where possible, measurement of two-dimensional samples can be undertaken inexpensively and accurately using public domain software applications.

Free access

Jason B. Scott, David H. Gent, Frank S. Hay, and Sarah J. Pethybridge

analysis software, ImageJ, includes several tools that can be employed for analysis of agronomic traits. ImageJ is freeware provided by the U.S. National Institutes of Health, and is compatible with a variety of computer platforms ( Schneider et al., 2012

Open access

Isaac T. Mertz, Nick E. Christians, and Adam W. Thoms

digital camera (CoolPix S8200; Nikon, Melville, NY) and a specialty light box ( Ikemura, 2003 ). Initial images were captured 21 DAS and DIA ( Soldat et al., 2012 ) was conducted on all images using the software ImageJ (National Institutes of Health

Free access

Ronnie W. Schnell, Donald M. Vietor, Richard H. White, Tony L. Provin, and Clyde L. Munster

percentage of turfgrass coverage during establishment Digital image analysis was used to measure the percentage of coverage of turfgrass starting 2 weeks after sprigging. A free download of ImageJ (National Institute of Health, USA http

Free access

Alexander Q. Susko, Timothy A. Rinehart, James M. Bradeen, and Stan C. Hokanson

greenhouse to measure leaf area change in response to liming treatments. Leaf area was quantified using image analysis methods implemented in MATLAB (MathWorks, Inc., Natick, MA) and ImageJ (National Institutes of Health, Bethesda, MD) to detect any

Full access

Tracy Monique Magellan, Chad Husby, Stella Cuestas, and M. Patrick Griffith

collected from each plant and CAS insects were counted on 23 Sept. and 8 Nov. 2010. Leaf areas and insect counts were measured using ImageJ64 ( Rasband, 2012 ), and insects per square centimeter were calculated. Infestation densities were compared via one

Free access

H.E. Winzeler and J.R. Schupp

the widely available open-source Java-based computer program, ImageJ ( National Institutes of Health, 2010 ). These macros process colorimetrically corrected images of apples within a given directory in two ways. The first macro modifies each image by