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Al considerar todas las hojas evaluadas por ambos métodos, se encontró que las áreas de las hojas no difieren entre ellas cuando se comparan con los métodos propuestos. Las varianzas de los valores se probaron con la prueba ‘F’ y las medias se compararon con la prueba ‘t’. Con los datos obtenidos en cada método se calcularon la desviación estándar, el coeficiente de variación, y la ecuación de regresión lineal simple.

#IMAGEJ FOR WINDOWS SOFTWARE#

Posteriormente en las mismas hojas se midieron las áreas foliares utilizando el software ImageJ. Las hojas cosechadas fueron identificadas y fijadas sobre una hoja A4 blanca, con una marca de área conocida (45 cm²), fotografiadas y evaluadas utilizando el integrador de área de la hoja (medidor de área LI3100 - LI-COR). Se utilizaron seis repeticiones (diseño completamente aleatorio), con la recolección de todas las hojas de una planta seleccionada al azar por parcela cada 7 días y un total de cinco evaluaciones para cada variedad. Para el efecto se evaluaron dos variedades de avena, una negra (Renascem) y otra blanca (UTF Iguaçu). We concluded that ImageJ software can be used instead of the leaf area meter on the two oat cultivars evaluated.Įl objetivo del estudio fue comparar dos métodos (Integrador del área foliar LI-COR 3100 y el software ImageJ) para estimar el área foliar en el cultivo de avena (Avena sativa L.). In addition, they were highly correlated, and variances were homogeneous. There was no difference between the leaf areas found by both methods. Mean variances were tested using the ‘F’-test and the means compared by the ‘t’-test. Estimates were obtained for standard deviation and coefficient of variation, and a simple linear regression equation was estimated based on the two estimation methods. Leaf area was then estimated using ImageJ software. The leaves were identified and fixed on a white A4 sheet of paper with an indication of a known area (45 cm²), photographed and evaluated using a leaf area meter (LI-3100 - LI-COR). All the leaves of one plant per plot, with six repetitions, were evaluated every seven days to obtain five assessments for each cultivar. Renascem black oats and UTF Iguaçu white oats cultivars were evaluated. Move the downloaded file into the ImageJ > plugins folder.The aim of this study was to compare two methods of estimating leaf area (leaf area meter LI-COR 3100 and ImageJ software) in oats. Installation of Bio-Formats Package, ImageJ only:ĭownload the latest version of the Bio-Formats Package from: If you are using ImageJ, follow with the additional step below.

If that is the case, copy the inner .x folder into Fiji.app > plugins folder. Note: For plugin versions lower than 5.5.7: Some Windows unzip apps create a double folder enclosing the plugin. Remember where you extracted it to.įor plugin versions lower than 5.5.7: Copy the extracted folder and paste it to the plugins folder of Fiji. Copy that file into the plugins folder of Fiji.įor plugin versions lower than 5.5.7: Extract the downloaded. Remove any such jar files or folders from the Plugins folder.ĭownload from the latest 5.x.x version of ImageJ/Fiji plugin for OMEROįor recent plugin versions (5.5.7 and higher): Note where you downloaded the omero_ij-5.x.x-all.jar file. Installation of the OMERO plugin for Fiji and ImageJ, theįind the Plugins folder of your Fiji application and check if it contains any old omero_ij-5.x.x-all.jar file(s) or .x folder(s). Required to connect to OMERO using the Script Editor of Fiji. Installing the OMERO plugin in Fiji also adds the dependencies

#IMAGEJ FOR WINDOWS HOW TO#

We then describe how to install the Bio-Formats Package for ImageJ. We first describe the common installation steps for ImageJ and Fiji.

In this section, we will cover the steps required to install the We assume that you have already Fiji/ImageJ installed locally.

#IMAGEJ FOR WINDOWS UPDATE#

The OMERO plugin does not have an update site yet. Install the OMERO plugin for Fiji and ImageJ.

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How to install the OMERO plugin for Fiji/ImageJ ¶ Description ¶įiji is a free open-source image processing package based on

Imagej for windows