ALBULA - data visualization

ALBULA runs on Windows 10 (32 bit and 64 bit) and Linux (32 bit and 64 bit).

Windows

ALBULA-3.3.3-2-Release.msi (14.9 MB)

Installation

Installing ALBULA is as easy as double clicking on the installer icon.

Using the ALBULA Python2.x API in Windows requires Anaconda or Python to be installed.

API Usage

The following Python commands are used to complete the typical task of loading an image and displaying it in a ALBULA window.

    import sys 
    sys.path.insert(0, r"C:\Program Files (x86)\DECTRIS\ALBULA\ALBULA_3.3.3\bin") 
    sys.path.insert(0, r"C:\Program Files(x86)\DECTRIS\ALBULA\ALBULA_3.3.3\python") 

    import dectris.albula 
    dectris_image = dectris.albula.readImage(r"C:\Program Files (x86)\DECTRIS\ALBULA\ALBULA_3.3.0\testData\in16c_010001.cbf") 
    main_frame, sub_frame = dectris.albula.display(dectris_image)

After installation, documentation can be found locally using following path:

    file://C:/Program Files (x86)/DECTRIS/ALBULA/ALBULA_3.3.3/albula_doc/index.html

Linux

ALBULA is supported on following systems using python3.x. Other Linux distributions may also work but are not supported.

Legacy Python2.x Version

ALBULA-3.3.3-2-Release-x86_64.sh (24.2 MB)

Installation

On Linux, issue the following commands

• ✓ yum install fileName.rpm
• ✓ or dnf install fileName.rpm
• ✓ or sudo dpkg -i filename.deb

API Usage

The following Python3.x commands are used to complete the typical task of loading an image and displaying it in a ALBULA window. You might want to add a symlink to your python site-packages to easily import it.

    import sys 
    sys.path.insert(0, "/opt/dectris/albula/4.1/bin") 
    sys.path.insert(0, "/opt/dectris/albula/4.1/python") 

    import dectris.albula 
    dectris_image = dectris.albula.readImage("/opt/dectris/albula/4.0/testData/in16c_010001.cbf")
    main_frame, sub_frame = dectris.albula.display(dectris_image)

    /opt/dectris/albula/4.0/doc/index.html

MAC

Legacy ALBULA for PILATUS3 and EIGER systems. This version is incompatible with EIGER2 data. This version is not tested on the latest macOS versions.