Microscopy Image Browser is a program written under MATLAB environment and it was tested to work under Windows/Linux/Mac installations of MATLAB.
In addition compiled (standalone) versions of MIB are available for Windows and Mac 64-bit OS. The standalone versions of MIB may not have complete functionality of the original program but do not require to purchase MATLAB license for academic research. The standalone MIB requires MATLAB Compiler Runtime (MCR) that is automatically installed during installation.
It is highly recommended to use 64-bit operating system with sufficient amount of memory.

only for the MATLAB version of MIB

• MATLAB, For MIB (version 2) release 2014b and newer (the most recent release is recommended)
  MIB was tested with MATLAB R2014b - R2022a.
  DeepMIB is available for R2019b (earlier releases); version 2.9 requires R2021b, but the newest releases are recommended
• MATLAB, For MIB (version 1) release 2011a and newer, for saving MPEG movies R2012a is required.
  MIB was tested with MATLAB R2011a - R2017a.

only for the MATLAB version of MIB

• Image Processing Toolbox, V7.0 (R2010a) or newer is required
• Parallel Computing Toolbox, (required for DeepMIB) (MATLAB R2019b and newer) for speeding up computations
• Computer Vision Toolbox, (required for DeepMIB) (MATLAB R2019b and newer) for training of 2D, 3D CNNs and segmentation of datasets
• Deep Learning Toolbox, (required for DeepMIB) (MATLAB R2019b and newer) for training of 2D, 3D CNNs and segmentation of datasets
• Neural Network Toolbox, (optional) (MATLAB R2017b and newer) for denoising images using deep neural network
• Optimization Toolbox (optional) for alternative to the Random Forest classifiers
• Statistics and Machine Learning Toolbox (optional) for alternative to the Random Forest classifiers
• Statistics Toolbox (optional) for alternative to the Random Forest classifiers
• Computer Vision System Toolbox (optional) for automatic alignement using detected image features

only for the MATLAB version of MIB
The Bio-Formats library brings support of multiple microscopy image formats. To use the library check the Bio checkbox in the Directory Contents panel of MIB.
Bio Formats java library (optional) is provided in the ImportExportTools/BioFormats folder.

only for the MATLAB version of MIB
BM3D and BM4D filters provide exceptional filtering quality. The filters are not supplied with MIB due to license limitations, but can be used together with MIB, when installed on the system.

Installation instructions:

• Check the license limitations
• Download the filters (Download zipped BM3D MATLAB software and Download zipped BM4D MATLAB software) from http://www.cs.tut.fi/~foi/GCF-BM3D/
• Unzip to your scripts folder, for example c:\MATLAB\Scripts\BMxD\
• Open to MIB preferences: Menu->File->Preferences->External dirs
• Add directories where the scripts were unzipped to BM3D filter and BM4D filter
• Restart MIB
• After restart the filters will be available from Image filters panel->Filter->External: MBxD

only for the MATLAB version of MIB
Compiled Frangi Mask filter is recommended for faster run. Please compile it for your OS.
This and most of other C-functions can be compiled using a single script:

• In MATLAB command window change directory to mib\Tools\, where mib is path where MIB is stored, for example c:\MATLAB\Scripts\mib
• To compile, type in MATLAB command window mib_compile_c_files

Note! These files should be already pre-compiled for win32, win64 and mac64.

only for the MATLAB version of MIB
Compiled files are required for Image Edge Enhancing Coherence Filter. Please compile them for your OS. This and most of other C-functions can be compiled using a single script:

• In MATLAB command window change directory to im_browser\Tools\, where im_browser is path where MIB is stored, for example c:\MATLAB\Scripts\im_browser
• To compile, type in MATLAB command window mib_compile_c_files

Note! These files should be already pre-compiled for win32, win64 and mac64.

Connection to OMERO server requires the download of OMERO API bindings for MATLAB.

• Download MATLAB plugin for OMERO from here. It should be listed in the OMERO->OMERO Downloads, Plugins/MATLAB section. (Note! Make sure that the version of MATLAB plugin corresponds to the version of OMERO server you are going to login. Old omero downloads are listed in the Previous versions section at the bottom of the page
• Unzip the file to your scripts directory, for example C:\MATLAB\Scripts\OMERO_5
• FOR MATLAB VERSION Add this directory (C:\MATLAB\Scripts\OMERO) with subfolders to MATLAB path (MATLAB->Home tab->Set Path...->Add with Subfolders...) or run pathtool in MATLAB command window
• MIB2: DEPLOYED VERSION Modify path to the Omero installation directory
  MIB->Menu->File->Preferences->Program settings->External dirs
  
• MIB1: DEPLOYED VERSION Modify path to the omero_client.jar library in mib_java_path.txt (located in the first folder on the search path. Usually [username]\Documents\MATLAB; path to this file will be displayed in the command prompt during start of MIB).
  For example, C:\MATLAB\Scripts\OMERO_5\libs\ for Omero version 5, or C:\MATLAB\Scripts\OMERO_4\libs\ for Omero verison 4

only for the MATLAB version of MIB
When DipLib is installed, Microscopy Image Browser can use several additional methods for anisotropic diffusion filtering available from DipLib.
Please refer to the following step for installation.

• Download diplib from www.diplib.org/download (free for non-commercial use)
• Install the package, For example, start DIPimage 2.3 installer win 64.exe for automatic installation on Windows 64-bit operating system
• Start MATLAB
• Add directory where the diplib/dipimage has been installed into the MATLAB path: MATLAB->Home tab->Set path...->Add folder...->Move to Bottom->Save. For example, c:\Program Files\DIPimage 2.3\common\dipimage\

Microscopy Image Browser can use Fiji 3D Viewer plugin for visualization of volumes and models
!!! Warning !!!
It seems that Fiji 3D viewer is not compatible with MATLAB on MacOS, please do not change write permission for the sys\java\jre\win64\jre\lib\ext on the MacOS)

In addition, there is a Fiji Connect panel that allows interaction between MIB and Fiji.
How to use:

• Download Fiji [link], for MIB older than 2.60 use the Fiji Life-Line version, 2015 December 22 [direct link]
• Unzip and start Fiji (fiji-win64.exe)
• Update Fiji: Fiji->Menu->Help->Update Fiji (it may be required to repeat this step one more time after restart of Fiji)
• The scripts sub-folder containing Miji.m should appear within the Fiji folder
• Start MATLAB
• Add Fiji.app/scripts folder to the MATLAB path and save the path: MATLAB->Home tab->Set path...->Add folder...->Move to Bottom->Save.
  Or use the addpath command from the MATLAB command window, for example: addpath('/Applications/Fiji.app/scripts').

Note 1, the following MATLAB path should be open for writing (not for MacOS!):
...\MATLAB\sys\java\jre\win64\jre\lib\ext
...\MATLAB\sys\java\jre\win64\jre\bin
Note 2, if the Failed to retrieve Exception Message error appears, please increase the heap space for the Java VM in MATLAB, see details here. For example, rendering of 1818x1022x717 volume requires 4Gb heap size.
Note 3, the Fiji 3D viewer may not work when started for the first time. In this case, MATLAB should be restarted.

MIB1: DEPLOYED VERSION, to use Fiji with the deployed version of MIB please add path to your Fiji application to the mib_java_path.txt file located in the first folder on the search path. Usually [username]\Documents\MATLAB; path to this file will be displayed in the command prompt during start of MIB.
MIB2: DEPLOYED VERSION Modify path to the Fiji installation directory
MIB->Menu->File->Preferences->Program settings->External dirs


only for the MATLAB version of MIB
Compiled files are required to use Membrane Click Tracker tool. Please compile them for your OS. This and most of other C-functions can be compiled using a single script:

• In MATLAB command window change directory to mib\Tools\, where mib is path where MIB is stored, for example c:\MATLAB\Scripts\mib
• To compile, type in MATLAB command window mib_compile_c_files

Note! These files should be already pre-compiled for win32, win64 and mac64.

only for the MATLAB version of MIB
Microscopy Image Browser uses an own function for saving data in the NRRD format, but relies on Projects:MATLABSlicerExampleModule by John Melonakos for reading it.
On Windows OS the files are already pre-compiled, but for Linux it may be needed to compile them.
Please refer to details in mib\ImportExportTools\nrrd\compilethis.m.

Microscopy Image Browser can be used together with Imaris. This functionality is achieved using IceImarisConnector written by Aaron C. Ponti, ETH Zurich.

Requirements:

• Installed Imaris and ImarisXT
• Add Imaris installation folder to MIB preferences Menu->File->Preferences->External dirs->Imaris installation folder
• Restart MIB

For MIB before version 2.3
• Installed Imaris and ImarisXT
• Add path of Imaris installation to a system environment variable IMARISPATH:
  Start->Computer->right mouse click->Properties->Advanced system settings->Environment Variables...->New....
  For example, IMARISPATH = c:\Tools\Science\Imaris\
• Restart MATLAB

Note: it is recommended to put ImarisLib.jar to the static Java path of MATLAB.

To do that:
• Start MATLAB and note the start-up (home) directory. For example: c:\Users\UserName\Documents\MATLAB
• Create javaclasspath.txt in this home directory and add path to ImarisLib.jar to this file (for example, c:\Program Files\Bitplane\Imaris x64 8.0.2\XT\matlab\ImarisLib.jar). One way to do that (Windows) is to type in the MATLAB command prompt: system('notepad javaclasspath.txt'); add the path; and save the file
• Restart MATLAB

Check a dedicated page on the installation details:
https://mib.helsinki.fi/downloads_systemreq_sam.html

only for the MATLAB version of MIB
The brush tool can be used to select not individual pixels but rather groups of pixels (superpixels). This functionality is implemented using the SLIC (Simple Linear Iterative Clustering) algorithm written by Radhakrishna Achanta et al., 2015. In addition the SLIC superpixels and supervoxels are used for the Graph-cut segmentation and Classifier.
For the Graph-cut segmentation MIB is utilizing maxflow 2.22 written by Yuri Boykov and Vladimir Kolmogorov.

This and most of other C-functions can be compiled using a single script:

• In MATLAB command window change directory to mib\Tools\, where mib is path where MIB is stored, for example c:\MATLAB\Scripts\mib
• To compile, type in MATLAB command window mib_compile_c_files

Note! These files should be already pre-compiled for win32, win64 and mac64.

only for the MATLAB version of MIB
Compiled files are required to use Random Forest Classifier. Microscopy Image Browser uses randomforest-matlab by Abhishek Jaiantilal which is already compiled for win32, win64.
For all other OS the files have to be compiled manually:
Please refer to details for MIB (version 2):
mib\Tools\RF_Class_C\README.txt and
mib\Tools\RF_Reg_C\README.txt.

Please refer to details for MIB (version 1):
im_browser\ImageFilters\RF_Class_C\README.txt and im_browser\ImageFilters\RF_Reg_C\README.txt.

Note!Starting from version 2.5 MIB is using hardware accelerated MATLAB volume rendering engine (Menu->File->Render volume->MIB rendering). This mode is in general recommended, it requres MATLAB R2018b and newer.

For software volume rendering compiled affine_transform_2d_double.c function is required. Please compile it for your OS.

This and most of other C-functions can be compiled using a single script:

• In MATLAB command window change directory to mib\Tools\, where mib is path where MIB is stored, for example c:\MATLAB\Scripts\mib
• To compile, type in MATLAB command window mib_compile_c_files

Note! This file is already pre-compiled for win64.