How to install Fiji, and make MATLAB aware of it. ImageJ is an image processing software, very popular in the Life-Science field. If you are a master student, a PhD or a postdoc in Biology, there is a very good chance that ImageJ is installed on your computer. Fiji is easy to use and install - in one-click, Fiji installs all of its plugins, features an automatic updater, and offers comprehensive documentation. Powerful Fiji bundles together many popular and useful ImageJ plugins for image analysis into one installation, and automatically manages their dependencies and updating. Windows Installation. Download and expand the self-extracting ZIP archive to the C: drive. To run ImageJ, open the ImageJ folder and double-click on the ImageJ shortcut (a microscope with an arrow). If this doesn't work, try double-clicking on ImageJ (old shortcut), run.bat or ij.jar. Windows Installation Download and expand the self-extracting ZIP archive to the C: drive. To run ImageJ, open the ImageJ folder and double-click on the ImageJ shortcut (a microscope with an arrow). If this doesn't work, try double-clicking on ImageJ (old shortcut), run.bat or ij.jar. The 'ImageJ' shortcut assumes the ImageJ folder is at C:ImageJ.
You will need Anaconda to use Python for data science. Anaconda comes with a graphical installation application for Windows, so getting a good install means using a wizard, much as you would for any other installation. Of course, you need a copy of the installation file before you begin. The following procedure should work fine on any Windows system, whether you use the 32-bit or the 64-bit version of Anaconda.
Install Imagej Windows 11
1Locate the downloaded copy of Anaconda on your system.
How to download image J Animated biology With arpan. How to Download and Install ImageJ on Windows How to use Portable version of ImageJ on Windows - Duration.
The name of this file varies, but normally it appears as Anaconda-2.1.0-Windows-x86.exe for 32-bit systems and Anaconda-2.1.0-Windows-x86_64.exe for 64-bit systems. The version number is embedded as part of the filename. In this case, the filename refers to version 2.1.0. If you use some other version, you may experience problems with the source code and need to make adjustments when working with it.
2Double-click the installation file.
You may see an Open File – Security Warning dialog box that asks whether you want to run this file. Click Run if you see this dialog box pop up. You see an Anaconda 2.1.0 Setup dialog box. The exact dialog box you see depends on which version of the Anaconda installation program you download.
If you have a 64-bit operating system, it’s always best to use the 64-bit version of Anaconda so that you obtain the best possible performance. This first dialog box tells you when you have the 64-bit version of the product.
3Click Next.
The wizard displays a licensing agreement. Be sure to read through the licensing agreement so that you know the terms of usage.
4Click I Agree if you agree to the licensing agreement.
You’re asked what sort of installation type to perform. In most cases, you want to install the product just for yourself. The exception is if you have multiple people using your system and they all need access to Anaconda.
5Choose one of the installation types and then click Next.
The wizard asks where to install Anaconda on disk. These instructions assume that you use the default location. If you choose some other location, you’ll want to remember where you choose.
6Choose an installation location (if necessary) and then click Next.
You see the Advanced Installation Options. These options are selected by default and there isn’t a good reason to change them in most cases. You might need to change them if Anaconda won’t provide your default Python 2.7 (or Python 3.4) setup.
7Change the advanced installation options (if necessary) and then click Install.
You see an Installing dialog box with a progress bar. The installation process can take a few minutes, so get yourself a cup of coffee and read the comics for a while. When the installation process is over, you see a Next button enabled.
8Click Next.
The wizard tells you that the installation is complete.
9Click Finish.
You’re ready to begin using Anaconda.
ImageJ is an image processing software, very popular in the Life-Science field. If you are a master student, a PhD or a postdoc in Biology, there is a very good chance that ImageJ is installed on your computer.
ImageJ is developed mainly by Wayne Rasband, and is written in Java (see http://rsb.info.nih.gov/ij/index.html). It has a clever plugin system that allows users to extend it with new functionalities.
Fiji (Fiji is Just ImageJ, http://fiji.sc/) is a distribution of ImageJ, that includes (amongst other things) a lot of plugins, some useful libraries and an updater to keep everything up to date.
Amongst other things, it is made to facilitate inter-operability with other softwares. For instance, it offers scripting facilities using popular languages such as Python, Ruby, Clojure, Beanshell, Javascript, etc. It also ships with Miji, a set of utilities made to ease its interaction with MATLAB. Since ImageJ is written in Java, it can be called directly from within MATLAB, and be used as a supporting image visualization, processing or analysis tool.
In this demo bundle, we demonstrate how to use Fiji to get a very nice, hardware accelerated, 3D viewer in MATLAB.
This is not a totally trivial example, as it requires to have the Java libraries for accelerated 3D rendering installed for the MATLAB Java Virtual Machine. Fortunately, Fiji comes with a script that automates the process.
But you still have to install Fiji.
Contents
Installing Fiji
Simply go to http://fiji.sc/Downloads and download the binaries for your OS. You will not find an installer; you just have to unzip the Fiji folder to somewhere convenient for you.
For demonstration purposes, let us assume you have a PC machine that runs a 64-bit version of Windows. You then have downloaded the matching Fiji version (fiji-win64-something.zip), and unzipped it in C:Program Files and now have a folder called C:Program FilesFiji.app.
Before launching MATLAB, launch Fiji itself. You will find an executable in the Fiji folder that you just need to run. At startup, Fiji should offer you to go to the updater. Do that and run the update. If you are not proposed this, you can find the updater in the Help > Update Fiji menu item.
Close Fiji when the update is done.
A side note: ImageJ and its plugin are very useful if you are interested in scientific Image Processing. There are a zillion things you can do with it. If you are interested in using Fiji as a standalone application, check some of the tutorials there: http://fiji.sc/Documentation.
Making MATLAB aware of Fiji
The utilities for interaction with MATLAB can all be accessed by adding a single folder to the MATLAB path. They are all located in the scripts folder of the Fiji folder.
So, if you have installed Fiji in C:Program FilesFiji.app, you just have to add C:Program FilesFiji.appscripts to the MATLAB path, and that's all.
By the way, it is in this folder that you will find all the m-files of this demo bundle. So you can launch the demos listed below simply by typing their name in MATLAB command window; they will be found since they are on the path.
Installing the Java3D libraries
You are done with the main installation part. You just have to do it once, and if some updates are made to Fiji, you just have to launch its updater to get them.
You still have to install the Java3D libraries. Fortunately, this is done automatically with a Fiji script:
- Launch MATLAB;
- type InstallJava3D in the command window.
If you get a message stating that the function cannot be performed, this is because you did not add the Fiji scripts folder to the MATLAB path. in that case, go back to the previous paragraph.
The InstallJava3D will tell you what it does verbosely. It will check whether your Java Virtual Machine already has Java3D installed, and if the version requirement is met. If not, it will automatically download Java 3D and install it to the right folder.
There might be some issues if you do not have write permission to the target folder. In that case, the script will tell you what folder to make writable. Then you can simply re-launch the script.
Once you are done, you have to restart MATLAB, so that the new libraries are sourced.
What now?
You are all set.
You can now play with the 2 demo files Matlab3DViewerDemo_1.m and Matlab3DViewerDemo_2.m, that are heavily annotated and published in the same folder as this file.
- Matlab3DViewerDemo_1 shows how to load a 3D data set in MATLAB and render it in 3D (volumetric rendering);
- Matlab3DViewerDemo_2 shows how to create simple object volumes in MATLAB and make a surface rendering of them.
- Matlab3DViewerDemo_3 demonstrates the surface plot mode. A 2D image is used to generate a 3D surface, where pixel intensity is interpreted as elevation.
Install Imagej Windows 10
MIJ is the low level Java class that contains static methods to exchange data between MATLAB and ImageJ. You can find its documentation there: http://bigwww.epfl.ch/sage/soft/mij/
Miji is the glue that facilitates the use of all these components. It is described in the aforementioned demo files.
Authors
- ImageJ is written by Wayne Rasband and friends for the core and the plugins;
- Fiji is written by a bunch of enthusiasts, under the holy auspices of Johannes Schindelin and friends;
- The ImageJ 3D viewer is written by Benjamin Schmid, Mark Longair, Albert Cardona and Johannes Schindelin;
- MIJ is written by Daniel Sage and Dimiter Prodanov;
- Miji is written by Johannes Schindelin, Jacques Pécréaux and Jean-Yves Tinevez.
It's all open source, feel free to modify, distribute, comment or whatever you feel like.
Version history
- 26 Jul 2011: Initial release
- 4 Aug 2011: Fix a bug in write permission detection on Windows platform, thanks to report by Peter Beemiller
- 11 Aug 2011: Added a 3rd demo, demonstrating the surface plot of 2D image, thanks to the fix on the 3D viewer applied today by Johannes Schindelin.
Jean-Yves Tinevez <jeanyves.tinevez at gmail.com> - July 2011
Install Imagej Windows 8
Published with MATLAB® 7.12